Hardcover published by Quadragle/The New York Times Book Co., third printing, August 1977, copyright 1975.

    The book makes clear that applied microeconometrics is about the estimation of marginal and treatment effects, and that parametric estimation is simply a means to this end. It also clarifies the distinction between causality and statistical association. The book focuses specifically on cross section and panel data methods. Population assumptions are stated separately from sampling assumptions, leading to simple statements as well as to important insights. The unified approach to linear and nonlinear models and to cross section and panel data enables straightforward coverage of more advanced methods. The numerous end-of-chapter problems are an important component of the book. Some problems contain important points not fully described in the text, and others cover new ideas that can be analyzed using tools presented in the current and previous chapters. Several problems require the use of the data sets located at the author's website.

    The participants in the controversy which raged during June–July this year forgot that as many four previous governors of the RBI have had their terms cut short. The recent debate has to be seen in this context. This volume focuses on all the governors of the RBI since 1935 and describes how almost all of them had problems with the government. It is inherent in the tasks they are charged with. It also shows how, after 1957, when Jawaharlal Nehru accepted the resignation of Benegal Rama Rau after the latter’s quarrel with the finance minister, T. T. Krishnamachari, the RBI virtually became a department of the finance ministry. Its claims to independence have been revived only after 2002, when financial sector reform changed the structure of a large part of the financial economy. The book ends with advice to future governors about what they should remember: they are the servants of the sovereign, not independent Wu-li masters. They have to manage the government, not fight it. Theirs, as a former governor sensibly pointed out, is a circumscribed independence, the perimeters of which are defined by the government.

    In the modern experimentalist paradigm, these techniques address clear causal questions such as: Do smaller classes increase learning? Should wife batterers be arrested? How much does education raise wages? Mostly Harmless Econometrics shows how the basic tools of applied econometrics allow the data to speak.In addition to econometric essentials, Mostly Harmless Econometrics covers important new extensions--regression-discontinuity designs and quantile regression--as well as how to get standard errors right. Joshua Angrist and Jorn-Steffen Pischke explain why fancier econometric techniques are typically unnecessary and even dangerous. The applied econometric methods emphasized in this book are easy to use and relevant for many areas of contemporary social science.An irreverent review of econometric essentials A focus on tools that applied researchers use most Chapters on regression-discontinuity designs, quantile regression, and standard errors Many empirical examples A clear and concise resource with wide applications

    Its world-class authors provide guidance on all aspects of Bayesian data analysis and include examples of real statistical analyses, based on their own research, that demonstrate how to solve complicated problems. Changes in the new edition include:Stronger focus on MCMC Revision of the computational advice in Part III New chapters on nonlinear models and decision analysis Several additional applied examples from the authors' recent research Additional chapters on current models for Bayesian data analysis such as nonlinear models, generalized linear mixed models, and more Reorganization of chapters 6 and 7 on model checking and data collectionBayesian computation is currently at a stage where there are many reasonable ways to compute any given posterior distribution. However, the best approach is not always clear ahead of time. Reflecting this, the new edition offers a more pluralistic presentation, giving advice on performing computations from many perspectives while making clear the importance of being aware that there are different ways to implement any given iterative simulation computation. The new approach, additional examples, and updated information make Bayesian Data Analysis an excellent introductory text and a reference that working scientists will use throughout their professional life.

    At the very heart of responsibility is industry and commerce, with everyone now racing to create their 'environmental' business strategy. In line with this awareness, there is much discussion about the 'green marketing opportunity' as a means of jumping on this bandwagon.We need to find a sustainable marketing that actually delivers on green objectives, not green theming. Marketers need to give up the many strategies and approaches that made sense in pure commercial terms but which are unsustainable. True green marketing must go beyond the ad models where everything is another excuse to make a brand "look" good; we need a green marketing that "does" good."The Green Marketing Manifesto" provides a roadmap on how to organize green marketing effectively and sustainably. It offers a fresh start for green marketing, one that provides a practical and ingenious approach. The book offers many examples from companies and brands who are making headway in this difficult arena, such as Marks & Spencer, Sky, Virgin, Toyota, Tesco, O2 to give an indication of the potential of this route. John Grant creates a 'Green Matrix' as a tool for examining current practice and the practice that the future needs to embrace. This book is intended to assist marketers, by means of clear and practical guidance, through a complex transition towards meaningful green marketing. Includes a foreword by Jonathon Porritt.

    Bigger, stronger and more cunning than any other predator in the woods, this murderer has only existed in legends and the nightmares of the few to survive an encounter … until now. Dr. Jake Sanders, world-renowned expert on predators and predatory behavior, is on a quest to find the monster that did far worse than wound him. Deputy Julie Reed, a strong, beautiful and lethal enforcer of justice, fearlessly pursues a violent adversary unaware of the twisted path destiny will lay before her. Simon Standing Elk, a recovering alcoholic well on the road to atoning for past sins until a terrifying encounter that now threatens not only his life, but his soul as well. Three different people. Three very different backgrounds. One secret organization. This is the story of events that brought them together and, if they’re not careful, could destroy them all – or worse.

    

    This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree- based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

    It is a ‘ must’ book for those in every branch of science . . . in addition, economists, politicians, statesmen, and businessmen cannot afford to overlook cybernetics and its tremendous, even terrifying implications. "It is a beautifully written book, lucid, direct, and despite its complexity, as readable by the layman as the trained scientist." -- John B. Thurston, "The Saturday Review of Literature" Acclaimed one of the "seminal books . . . comparable in ultimate importance to . . . Galileo or Malthus or Rousseau or Mill," "Cybernetics" was judged by twenty-seven historians, economists, educators, and philosophers to be one of those books published during the "past four decades", which may have a substantial impact on public thought and action in the years ahead." -- Saturday Review

    Cast.It is 50 pages of reprinted Wikipedia and other public domain online articles.Hephaestus Books represents a new publishing paradigm, allowing disparate content sources to be curated into cohesive, relevant, and informative books. To date, this content has been curated from Wikipedia articles and images under Creative Commons licensing, although as Hephaestus Books continues to increase in scope and dimension, more licensed and public domain content is being added. We believe books such as this represent a new and exciting lexicon in the sharing of human knowledge. This particular book is a collaboration focused on House of Night series.

    Wolfram lets the world see his work in A New Kind of Science, a gorgeous, 1,280-page tome more than a decade in the making. With patience, insight, and self-confidence to spare, Wolfram outlines a fundamental new way of modeling complex systems. On the frontier of complexity science since he was a boy, Wolfram is a champion of cellular automata--256 "programs" governed by simple nonmathematical rules. He points out that even the most complex equations fail to accurately model biological systems, but the simplest cellular automata can produce results straight out of nature--tree branches, stream eddies, and leopard spots, for instance. The graphics in A New Kind of Science show striking resemblance to the patterns we see in nature every day. Wolfram wrote the book in a distinct style meant to make it easy to read, even for nontechies; a basic familiarity with logic is helpful but not essential. Readers will find themselves swept away by the elegant simplicity of Wolfram's ideas and the accidental artistry of the cellular automaton models. Whether or not Wolfram's revolution ultimately gives us the keys to the universe, his new science is absolutely awe-inspiring. --Therese Littleton

    Will take 25-35 days

    Wouldn't it be wonderful if we could actually visualize data in such a way that we could maximize its potential and tell a story in a clear, concise manner? Thanks to the creative genius of Nathan Yau, we can. With this full-color book, data visualization guru and author Nathan Yau uses step-by-step tutorials to show you how to visualize and tell stories with data. He explains how to gather, parse, and format data and then design high quality graphics that help you explore and present patterns, outliers, and relationships.Presents a unique approach to visualizing and telling stories with data, from a data visualization expert and the creator of flowingdata.com, Nathan Yau Offers step-by-step tutorials and practical design tips for creating statistical graphics, geographical maps, and information design to find meaning in the numbers Details tools that can be used to visualize data-native graphics for the Web, such as ActionScript, Flash libraries, PHP, and JavaScript and tools to design graphics for print, such as R and Illustrator Contains numerous examples and descriptions of patterns and outliers and explains how to show them Visualize This demonstrates how to explain data visually so that you can present your information in a way that is easy to understand and appealing.

    There is nothing wrong with that desire. But you must have known the secrets of avoiding losses. Share Market is a field that has of late developed overwhelmingly. Millions of people invest in it with enthusiasm and are interested in knowing details about this grey area. Sadly, not everyone who invests in it earn profits. Some people who constantly learn end up earning, but those who do not know anything about it and put their trust on luck lose miserably. This book shows the way to avoid losses and increase gains in share market. This comprehensive book touches upon every aspect of stock market investment. A fantastic starting point for anyone aspiring to enter into the unknown world of share market. Even for investors who are already in the market, this book can serve a guide. People say, you either earn or learn in share market. This book preaches the secrets of learning and earning at the same time. This work takes you through an introduction about shares, functioning of share markets, relevance of stock market indices and different approaches for primary & secondary market investments. In also talks about the real qualities of an investor and how he differs from a speculator in the marketplace. Relationship between inflation & investments and the need for achieving inflation adjusted returns are stressed upon. Various stock selection processes, approaches to adapt for different market conditions and more more importantly the art of avoiding losses are discussed in details. You will learn how to analyse a company, its shares, market dynamics, how to value a business, what price to pay for a company etc. All important parameters, numbers and ratios are explained with interesting real time illustrations. Difference between value investing and growth oriented stock selection process is analysed thoroughly, Likewise, fundamental analysis and technical analysis are compared in a rational way. On top of these, this books describe the qualities that differentiate successful investors from ordinary ones. Those qualities are analysed in detail. More importantly, the book stresses the importance of identifying bad companies and unethical management, and teaches how to stay away from them.