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Throughout much of this century the notion has been gaining ground, bolstered by genocide and Holocaust, that modern warfare is more barbaric than war has ever been. Alongside this view has grown a romantic impression that primitive cultures were, and are, more peaceful. Lawrence Keeley, an anthropologist at the University of Illinois, aims to dispel this inversion of the connotations of "civilization." He cites the historical evidence that humans have always been just as bloodthirsty as they are today, and that indeed in the days when death was less clinical it was often nastier. War, it seems, has always been with us.
Book Description
The myth of the peace-loving "noble savage" is persistent and pernicious. Indeed, for the last fifty years, most popular and scholarly works have agreed that prehistoric warfare was rare, harmless, unimportant, and, like smallpox, a disease of civilized societies alone. Prehistoric warfare, according to this view, was little more than a ritualized game, where casualties were limited and the effects of aggression relatively mild. Lawrence Keeley's groundbreaking War Before Civilization offers a devastating rebuttal to such comfortable myths and debunks the notion that warfare was introduced to primitive societies through contact with civilization (an idea he denounces as "the pacification of the past"). Building on much fascinating archeological and historical research and offering an astute comparison of warfare in civilized and prehistoric societies, from modern European states to the Plains Indians of North America, War Before Civilization convincingly demonstrates that prehistoric warfare was in fact more deadly, more frequent, and more ruthless than modern war. To support this point, Keeley provides a wide-ranging look at warfare and brutality in the prehistoric world. He reveals, for instance, that prehistorical tactics favoring raids and ambushes, as opposed to formal battles, often yielded a high death-rate; that adult males falling into the hands of their enemies were almost universally killed; and that surprise raids seldom spared even women and children. Keeley cites evidence of ancient massacres in many areas of the world, including the discovery in South Dakota of a prehistoric mass grave containing the remains of over 500 scalped and mutilated men, women, and children (a slaughter that took place a century and a half before the arrival of Columbus). In addition, Keeley surveys the prevalence of looting, destruction, and trophy-taking in all kinds of warfare and again finds little moral distinction between ancient warriors and civilized armies. Finally, and perhaps most controversially, he examines the evidence of cannibalism among some preliterate peoples. Keeley is a seasoned writer and his book is packed with vivid, eye-opening details (for instance, that the homicide rate of prehistoric Illinois villagers may have exceeded that of the modern United States by some 70 times). But he also goes beyond grisly facts to address the larger moral and philosophical issues raised by his work. What are the causes of war? Are human beings inherently violent? How can we ensure peace in our own time? Challenging some of our most dearly held beliefs, Keeley's conclusions are bound to stir controversy.
Customer Reviews:
Good Overview of Primitive Warfare.......2007-10-03
The book has a simple premise - primitive societies, far from being peaceful and cooperative tend to be highly violent. The perception of peace derives from the fact that "they" fight wars differently from "us" and are much smaller. He also describes the evasions that scholars use to "hide" the casualty figures of primitive warfare - namely counting war dead as "murders" because they didn't die in a good old fashioned battle the way westerners would fight.
Keely deals with the different types of combat these societies tend to engage in and highlights how a society based on raids and ambushes can be as, if not more, deadly (in relative terms)than full scale modern warfare based around huge armies. In basic sum if two tribes with 50 people each fight a war and kill 10 people over a year that is a catastrophically high casualty rate for those tribes but it won't register as much for a state of 200 million people.
Keely marshals an impressive array of evidence and examples and offers explanations that will make sense to people who are not anthropologists. The book is well organized and makes the solid point that "primitive" warfare isn't "inferior" warfare. It can be very effective (horribly effective in some cases) and fits the needs of these societies.
What's going horribly wrong here?.......2007-07-23
There's a problem when books like this or "Sick Societies" or Ward-Perkins' "The Fall of Rome" HAVE to be written. The same problem can be found in people today who find an equivalency in an attack on a valid military target that results in unintended and unwanted civilian fatalities--collateral damage--and some suicide bomber driving an explosives-packed vehicle directly into a crowd of children. Noam Chomsky claims he was fired up to do battle with the Great Satan when he was confronted by the sister of a child who was killed during the Reagan-era raid on Libya, but he apparently wasn't too concerned about all the young people who were killed in the terrorist attack on a club in Germany that the raid was a response to.
This is an excellent book and the author makes his points well. The problem is that what he's combating is not anything rational or logical, it is an all-encompassing hatred of the West that really needs to be scrutinized by a psychiatrist and not a sociologist. Paul Hollander's superb "Anti-Americanism" covers the territory well be still does not get to the core of the dysfunction. Simply, in the late 1960s the academic world allowed itself to be bullied into letting the kids run the show. Being kids, they brought their juvenile personal baggage and constricted self-referential worldview into nearly every academic realm. Now these same kids have--at least physically--grown up and they are teaching newer generations.
What we have is a juvenilized academia not so much interested in seeking truth but in justifying, for just one example, anti-authoritarian mindsets that have more to do with their relationships with their parents than any geo-political situation.
I'll stop there. Somebody needs to write a good book on this subject.
Keely slaughters the myth of the golden age of peace.......2006-11-17
Keeley utterly demolishes the "golden age" idiotological mythos with hard anthropological, ethnographic and archaeological fact. He also, very cleverly to my mind, considering the biases of modern academics, gives "primitives" a great deal of credit for their fighting prowess. There were some flaws to his thesis, of course. But this is a sort of polemic; a bludgeon with which to beat home the unarguable fact that primitive man was a violent creature; not the Rousseauean "noble savage" of popular mythology.
It also contains some great black humor, such as his recounting of a Maori chief taunting the preserved head of an enemy chief: " You wanted to run away, did you? But my war club overtook you: and after you were cooked, you made food for my mouth. And where is your father? he is cooked:- and where is your brother? he is eaten:- and where is your wife? there she sits, a wife for me:- and where are your children? there they are, with loads on their backs, carrying food, as my slaves."
Humanity is ugly. The simple fact that we are unpleasant, violent apes seems to be lost on certain social classes of people. In my opinion, you can't begin to understand people without understanding that human beings are deeply flawed creatures. We are not made horrible by our social conditions, psychological trauma or any other such nonsense: humanity is just horrible. Any meaningful discussion of sociology, history or politics must start from these assumptions, or they are destructive folly.
Burying myths.......2006-05-12
This book examines and buries one of the great myths of our times. The myth of the peaceful past, the Noble Savage. Keeley reminds us, with empirical evidence, that war and violence is part of the human heritage and not the exclusive sin of one race, one culture or even one epoch. This myth demeans the humanity of all of us. His final and more speculative final chapters on how the myth of the passive past shapes modern debate is full of uncommon sense.
definitely not politically correct.......2004-05-28
It has been some years since I read this book, but having come across it again by chance recalled the impact it made on my first reading. Forgive any flaws in my memory of the details, but this is what I have carried with me from "War Before Civilization." If you adhere to the concept of the 'peaceful savage,' the book may offend you. If you believe in a past 'golden age' where life was simple and carefree compared to the present, you will likely dismiss this book. If you think life now is harder and more dangerous than it was in the past, you will not get much out of this read. If you are sure that primitive societies lived long, healthy, safe lives in harmony with the environment and at peace with one another, then stay in your bubble and skip this book. Keeley does not carry the guilt many today feel regarding the destruction of "primitive" cultures and societies. Archaeology and statistics more than sociology and anthropology form the basis of Keeley's conclusions (if I recall correctly). To summarize: people are violent regardless of the era, and more so when resources are scarce, meaning modern technology makes more resources available now than were available 'Before Civilization.' Modern science allows people to live healthier and longer now than in the past - i.e. probably very few people died from Alzheimer's or cancer in primitive societies because hardly anyone lived long enough to acquire these diseases, regardless of what the causes today are (old age, diet, genes, pollution, whatever). Sure, more people today die in armed conflict than did 'Before Civilization', but as a percentage of the whole, the numbers today are no worse, if not better, than in the past. In addition, the losses today are more easily survived by the whole, as there are more people to start with in a modern society (which doesn't do the individual dead any good, but that's not the point). And while killing methods today are both faster and more efficient, healing and recovery from non-fatal wounds has also improved (e.g. gangrene vs. penicillin). Now if you were one of the people who survived broken bones, avoided impacted wisdom teeth or the need for a root canal, recovered from injuries, always had proper clothing and shelter regardless of the weather, had abundant and consistent nutrition without access to a grocery store or vitamins or your backyard garden, had no allergic reactions to anything, reproduced with ease, skipped any birth defects, resisted all those nasty viruses, bacterial infections, and festering wounds, then you might have lived long enough to meet your grandchildren. It definitely would have been a 'Golden Age' for you and you alone, but doesn't that same thing apply to any era? With that kind of good fortune, you probably would have been running things in a primitive society just by outliving everybody else. And while any complaints we today have about the imperfections of modern 'Civilization' may be legitimate, "War Before Civilization" makes it abundantly clear that, ultimately, complaining is a luxury.
Book Description
Focusing on the cultural invention of Zionism, Michael Berkowitz explores how and why the Jewish nationalist movement was embraced by assimilated Jews of Western Europe before World War I. He pays special attention to the symbolism, artistic representations, and mythology that attracted European Jews to Zionism, which coexisted equally with the nationalisms of their home countries. The book was originally published in 1993.
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Translation of Notre Avant-Guerre/Before the War (Studies in French Civilization, V. 24)
Robert Brasillach
Manufacturer: Edwin Mellen Press
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ASIN: 0773471588 |
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Covering the story of prejudice against Jews from the time of Christ through the rise of Nazi Germany, The History of Anti-Semitism presents in elegant and thoughtful language a balanced, careful assessment of this egregious human failing that is n
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In recent years the growing importance of derivative products financial markets has increased the demand for mathematical skills in financial institutions. The purpose of this book is to introduce the mathematical methods of financial modelling to provide a clear explanation of the most useful models. Introduction to Stochastic Calculus begins with an elementary presentation of discrete models, including the Cox-Ross-Rubenstein model. This book will be valued by derivatives trading, marketing, and research divisions of investment banks and other institutions, and also by graduate students and research academics in applied probability and finance theory.
Customer Reviews:
Very good.......2007-07-03
I am quite familiar with this book since I enjoyed it when it was used (along with many other good books as it should) in Purdue Computational Finance program. I got to do a number of exercises from it. Some Matlab code is available on my website (click on my name above).
A very efficient book for the right audience.......2007-01-21
Introduction to Stochastic Calculus Applied to Finance, translated from French, is a widely used classic graduate textbook on mathematical finance and is a standard required text in France for DEA and PhD programs in the field.
Most folks familiar with Steve Shreve's Stochastic Calculus Models for Finance will be surprised at its brevity, for this work is aimed at different audiences.
Whereas Shreve's work is aimed at mathematicians and physicists who are coming to finance, and building on the commonalities of understandings of time series and data sets and signals, Lamberton & Lapeyre's work is aimed at an audience of mathematically trained engineers, who look at data sets as information for solving problems. Shreve's work, is, therefore, to help people come up with mathematical proofs, and L&L's is to help people solve problems.
Both probabilistic and partial differential equation approaches are covered, so both those from electrical and telecommunication engineering and mechanical engineering will be satisfied and on familiar ground. Numerical and algorithmic methods are also covered for those with systems analysis and operations management backgrounds.
This book, however, is decidedly for those who have had significant mathematical training. Whereas with Hull, Wilmott, Neftci, or Joshi you can play around with their approaches almost instantly in Excel or other programming tools (VBA, C, etc.), Lamberton and Lapeyre's work is for those who think out loud with a white board and others do the dirty work of coding. This work lacks specific examples, data sets, etc. Which makes it difficult to place. Its clarity and brevity are welcome, and it expands the knowledge beyond Hull of those who are not trained in math and came up the practical coding grunt side of quantfin. But it also is not a complete theoretical treatment for the first string math and theory set.
In short, the book is what it is: a short primer on a large area of mathematics in finance for those well-trained in a variety of engineering and applied mathematical subjects. In other words, this book is for the French, because all the best French students are always Engineers first and something else afterwards. If you also happen to be trained as an engineer and find Hull, Wilmott, Joshi & Neftci too easy, and Shreve too hard, then this is the book for you. Or if you are like me, and you've banged your head against this stuff for years just through the happenstance of your career and want to see how a mathematician writes about your gritty world, this is a great book for shedding light in areas filled with cobwebs.
Clear and concise introduction to mathematical finance........2001-07-25
This book, translated from French, is by now a classic graduate textbook on mathematical finance, and provides a clear and concise introduction to the basic and important aspects of the theory. Although one of the first textbooks on the subject, it still remains in my opinion one of the best.
The book has been written for engineering students not mathematicians and avoids the theorem/proof format, going straight to essentials.
Also, while most textbooks on mathematical finance exclusively adopt either a probabilistic (like Baxter & Rennie) or a PDE approach to the theory (Wilmott et al, Wilmott), this book maintains the balance between the two aspects. Moreover, it does not neglect numerical methods and gives details on several algorithms for option pricing ( trees, Finite Difference, Monte Carlo) Finally, and perhaps this point is very important, the book maintains a reasonable volume while treating all these topics AND maintaining a high level of scientific rigor: all statements and notations are precise and oversimplification is avoided. Advanced topics such as variational inequalities for American options and HJM theory of interest rates are also included.
Some drawbacks of the book are: - a complete absence of empirical data/ real life figures - no description of various kinds of derivative products, why they are used,... But then, what can you ask for in such a small volume?
If you are an engineering/maths student and you want to discover what mathematical finance is about, I recommend you this book instead of John Hull's book.
A good INTRODUCTION to ONE part of finance.......1999-03-14
As precisely mentioned in the title, this book is only an introduction; and it is not an introduction to finance, but to stochastic calculus applied to finance.
The buyer of this book should therefore be aware of three facts:
1. After having read this book you are not (yet) an expert on stochastic calculus applied to finance. You have to continue with other books mentioned in Lamberton/Lapeyre. But this book is an excellent framework that leads you to many important results, omiting proofs that are only technical.
2. Mathematics is used in many other areas of Finance too (Time Series Analysis for example). What is treated in this book is only a very small part of Finance Mathematics, but an important one.
3. One should read another book with more economic background at the same time.
The authors begin with discrete-time models to present many important ideas in a (mathematically) simple environment before treating the contiuous models. Introduction to stochastic integration and stochastic differential equations is brief. Stochastic integration is only with respect to the standard browning motion. After having reached the Black-Scholes model and american options, the approach via partial differential equations is treated, followed by interest rate models, models with jumps and, a good idea: a chapter on simulations.
The book has very few mistakes, no important ones, only a strange layout failure on pages 6 to 7.
So I highly recommend this book as an INTRODUCTION to ONE important part of finance mathematics if read in combination with another book with more economic background. It can especially be used for upper graduate student seminars or as a basis for lecture courses.
A stochastic approach of finance for engineers!.......1998-07-28
The french initial version of this book has been one of my first technical papers that deal with stochastic calculus towards finance. It is written by and for engineers I must admit, but students in actuarial sciences (like me) won't be lost by so many formulas and equations if they agree to read with a piece of paper and a pencil on the hand. I have worked on the Vasicek's model and the simulations described have helped me a lot. Too bad that the lattice model is not explored. Anyway it is a good preparation before the opening of "Brownian Motion and Stochastic Calculus" from Karatzas & Shreve.
Book Description
Serving as the foundation for a one-semester course in stochastic processes for students familiar with elementary probability theory and calculus,
Introduction to Stochastic Modeling, Third Edition, bridges the gap between basic probability and an intermediate level course in stochastic processes. The objectives of the text are to introduce students to the standard concepts and methods of stochastic modeling, to illustrate the rich diversity of applications of stochastic processes in the applied sciences, and to provide exercises in the application of simple stochastic analysis to realistic problems.
* Realistic applications from a variety of disciplines integrated throughout the text
* Plentiful, updated and more rigorous problems, including computer "challenges"
* Revised end-of-chapter exercises setsin all, 250 exercises with answers
* New chapter on Brownian motion and related processes
* Additional sections on Matingales and Poisson process
* Solutions manual available to adopting instructors
Customer Reviews:
Dive into the deep end... or atleast pretend you are..........2006-07-20
This book opens with a nose dive into Conditional probability. Unlike some other authors that devote a half their entire bloody book on review of probability, random variables, and conditional probability distributions, this book assumes a firm or atleast an introductory knowledge of the above. Ideally, a good probability book such as Hogg and Tanis would prove to be quite helpful as a supplementary reference.
Markov Chains and Processes are introduced in the third chapter and the definition is lucid, complete with examples that are easy to comprehend. One of the examples that calculated the frequency with which an autoparts store must replenish its stock was absolutely brilliant and made things a lot easier to understand. The exercises are rather thorough, so if you are purchasing this book for a class and will be assigned homework assignments from the text, be prepared to devote atleast an hour on an average to each problem.
The book is relatively easy to read, if you have a good background in random variables, and hence, i repeat, keep a book on introductory probability and statistics handy.
Cheap Binding.......2006-01-10
Letting the other reviews critique the content, I would like to mention that I was unimpressed with the quality of the binding.
Although I may be a unique occurence, the binding of my book was cheap and broke so that several pages came loose. For an $80 book I expect better durability than a paperback.
So Much Potential.......2005-10-19
I purchased this book to use as the text for a graduate level Stochastic Processes course that I am taking by independent study, and have had a large role in designing. I purchased the book, sight unseen, based on reviews that indicated there were many examples with solutions, wary that reviews also mentioned a lack of organization.
The organization was worse than I could have anticipated, and is one of two major flaws that do not render the book unusable, but make it very unpleasant to work with.
As has been mentioned, the outline numbering system makes chapters harder to follow, rather than easier, and it is difficult to distinguish the exercises with solutions from the problems with no solutions. This strange numbering system is carried out in the answer key portion, as well. When I read similar comments in reviews, I thought, how bad can it be? Creatively bad.
The most problematic organizational point, however, is the fact that concepts are covered in homework problems before they are introduced in the text. Chapter 1, for example, contains problems that could only be done after reading Chapter 2. This juxtaposition of discussion and exercise is still taking place as I am about three fourths of the way through the book.
The second issue with this text, besides the confusing organization, is the cumbersome use of notation with no key or explanation. Commonly, sections of text are only three or four pages long. They consist of, "Here is a formula. Now here is the proof," without any real explanation of what the formula is for, and perhaps, worse, no indication of what the variables stand for. The field of statistics is notorious for it's inconsistent use of symbology. Most texts address this by including a key of symbols. Not only has a key not been included in this text, but the symbology is most uncommon. It has taken me quite a bit of searching to decipher a number of symbols for which there were much more common alternatives.
In it's favor, the exercises and problems in the book are good, appropriate, and even classic examples.
With a strong enough background in probability, particularly Markov processes, or, with good instruction, this book is a decent source of exercises. But certainly there are better sources of exercises if we must look elsewhere for instruction.
Good book overall, organization is very poor.......2003-02-21
First, let me say that I found the content of this book to be, on the overall, wonderful and fairly well explained. Concepts are presented well and, unlike many other books on Stochastic Modeling, sigma algebra is avoided (this is a definant plus for making it into an undergrad or low-level grad textbook).
That having been said, this book has some of the worst organization I have ever seen in a textbook. Every chapter is divided into sections and at the end of each section there are questions which are separated into "Exercises" and "Problems"; this in-and-of itself is not as much of a problem as that everything is numbered the same way.
Therefore problem 5 in section 4 chapter 3 is numbered the same way (4.5) as exercise 5 in the same section and chapter is numbered the same way as exercise/problem 5 in the same section of any other chapter in the book. The only real difference between "Exercises" and "Problems" is that exercises tend to be answered in the back of the book.
There are also other organizational difficulties in the text itself--such as that it is never entirely clear where the examples are in the text: there are several things which are labeled as examples (and are), however, over half of the examples in some chapters seem to be simply thrown into the text without any special indicator that they are examples of what is being discussed.
While the content in this book is good, the organization is so wretched that I have to knock it down two stars.
A very good introductory book.......2000-02-10
The book shows through examples the very vast collection of stochastic models without going too deep in the technical details. I consider the book a good introduction for undergraduate students with a calculus and probability course. Most adequately for engineers than mathematicians.
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Introduction to Matrix Analytic Methods in Stochastic Modeling (ASA-SIAM Series on Statistics and Applied Probability)
G. Latouche , and
V. Ramaswami
Manufacturer: Society for Industrial Mathematics
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Matrix-Geometric Solutions in Stochastic Models: An Algorithmic Approach
ASIN: 0898714257 |
Book Description
Matrix analytic methods are popular as modeling tools because they give one the ability to construct and analyze a wide class of queuing models in a unified and algorithmically tractable way. The authors present the basic mathematical ideas and algorithms of the matrix analytic theory in a readable, up-to-date, and comprehensive manner. In the current literature, a mixed bag of techniques is used-some probabilistic, some from linear algebra, and some from transform methods. Here, many new proofs that emphasize the unity of the matrix analytic approach are included.
Customer Reviews:
A Great Book.......2002-08-02
Matrix Analytic Methods (MAM) are great modeling tools that can analyze a variety of stochastic systems in a unified way and in an algorithmically tractable manner. This book is one of the greatest that have been published on queueing theory and stochastic modeling.
This book covers
1. Examples of quasi-birth-and-death (QBD) processes.
2. Phase-type distributions
3. Stationary and non-stationary QBDs
4. Algorithms (from probabilistic reasoning)
5. And many others.
I used this book as a text for my graduate students and it was a real pleasure. Throughout the books, readers will see MAM as an art of modeling and analysis of stochastic systems, not the pile of techniques.
This book is aiming at readers in queueing theory, computer science, OR/MS, statistics, mathematics, and many other related disciplines. This book also serves as the source of bibliography not otherwise easily available.
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An Introduction to Queueing Theory: Modeling and Analysis in Applications (Statistics for Industry and Technology)
U. Narayan Bhat
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ASIN: 0817647244 |
Book Description
This introductory textbook is designed for a one-semester course on queueing theory that does not require a course in stochastic processes as a prerequisite. Oftentimes students in applied disciplines such as computer science, operations research, and engineering do not take a course on queueing theory because it requires a prerequisite course on stochastic processes; or they take a course without the necessary background and learn as one would use a cookbook. By integrating the necessary background on stochastic processes with the analysis of models, this book provides a sound foundational introduction to the modeling and analysis of queueing systems for a broad interdisciplinary audience.
Key features:
* An introductory chapter including a historical account of the growth of queueing theory in the last 100 years.
* A modeling-based approach with emphasis on identification of models using topics such as collection of data and tests for stationarity and independence of observations.
* Rigorous treatment of the foundations of basic models commonly used in applications with appropriate references for advanced topics.
* A chapter on modeling and analysis using computational tools.
* A comprehensive treatment of statistical inference for queueing systems.
* A discussion of operational and decision problems.
* Modeling exercises as a motivational tool, and review exercises covering background material on statistical distributions.
* Minimal prerequisites: calculus with some differential equations and an undergraduate course in probability and statistics.
* Appendices containing essential background material.
Introduction to Queueing Theory may be used as a textbook by first-year graduate students in fields such as computer science, operations research, industrial and systems engineering, as well as related fields such as manufacturing and communications engineering. Upper-level undergraduate students in mathematics, statistics, and engineering may also use the book in an elective introductory course on queueing theory. With its rigorous coverage of basic material and extensive bibliography of the queueing literature, the work may also be useful to applied scientists and practitioners as a self-study reference for applications and further research.
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The TSCA Compliance Handbook (Environmental Compliance Handbook Series)
Ginger L. Griffin
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Other Books in the Environmental Compliance Handbook Series
The RCRA Compliance Handbook Second Edition, Charlotte L. Neitzel
Offers concrete advice on complying with the Resource Conservation and Recovery Act (RCRA). It simplifies the difficult task of identifying the many regulations and statutory provisions that may bear on your company's particular circumstances. This informative guide provides you with a "compliance overview," summarizing key provisions, regulations, and issues. (ISBN 0471-11266-6)
The Clean Water Act Compliance Handbook, Russell S. Frye
A comprehensive account of the legislative, judicial, and regulatory developments affecting discharges and spills to surface waters, releases to public sewers, and specialized requirements for wetlands. The book covers NPDES permit requirements, EPA and state enforcement requirements for industrial discharges to POTWs, Dredge and Fill (Section 404) Permit Program, and more. (ISBN 0471-11262-3)
The Superfund Claims and Litigation Manual, McKenna, Conner & Cuneo
Provides a complete overview of the Comprehensive Environmental Response, Compensation, and Liability Act (CERCLA) and its features. The book gives an in-depth explanation of the statutory structure of Superfund, including triggers, cleanup liability, defenses, "response costs," litigation, and more. (ISBN 0471-11246-1)
The Clean Air Act Compliance Handbook Second Edition
J. Wray Blattner & Walt A. Linscott
Provides a concise overview of each of the major EPA regulatory programs under the Federal Clean Air Act and the Clean Air Act Amendments of 1990. From agency policies to enforcement priorities, this handbook covers all the major clean air compliance issues: nonattainment areas, important state permits, "bubbles," prevention of significant deterioration (PSD), and EPA actions. (ISBN 0471-11261-5)
Books:
- War Without Garlands: Barbarossa 1941/42
- WARRIORS FROM THE DEEP: The Extraordinary History of the World's Combat Swimmers
- Where Death and Glory Meet: Colonel Robert Gould Shaw and the 54th Massachusetts Infantry
- Winfield Scott Hancock: A Soldier's Life
- X-15 Diary: The Story of America's First Space Ship
- 1066: The Battles of York, Stamford Bridge and Hastings (Battleground Britain)
- 69 AD: The Year of Four Emperors
- A Glorious Page in Our History: The Battle of Midway, 4-6 June, 1942
- A People's Army: Massachusetts Soldiers and Society in the Seven Years' War
- A Small Corner of Hell: Dispatches from Chechnya
Books Index
Books Home
Recommended Books
- The Sun in the Morning: My Early Years in India and England
- The Color of Water: A Black Man's Tribute to His White Mother
- Nip the Buds, Shoot the Kids
- Small Animal Dental Equipment, Materials and Techniques
- Planet Earth: As You've Never Seen It Before
- Remediation Engineering of Contaminated Soils
- Scientific Computing
- ECOL MARINE FISHES CUBA
- Philip the bold: The formation of the Burgundian state
- Arboles Autoctonos Argentinos
How War Began (Texas a&M University Anthropology Series)
Demonic Males: Apes and the Origins of Human Violence
Carnage and Culture: Landmark Battles in the Rise to Western Power
Sick Societies: Challenging the Myth of Primitive Harmony
The Origins of War: Violence in Prehistory
