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This book covers several dimensions of the undercount of young children in the U.S. Decennial Census, examines the data from the 2010 U.S. Decennial Census in detail and looks at trends in the undercount of children over time. Other aspects included are the geographic distribution of the net undercount and an exploration for some of the potential explanations for the high net undercount of children. The number of young children in the US is growing, but almost one million young children (under age 5) were missed in the 2010 U.S. Decennial Census. The net undercount of young children has been higher than any other age group for the past several decades and is increasing rapidly, but little attention has been paid to the issue but demographers or the public.

Social Sciences. --- Demography. --- Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law. --- Social sciences. --- Statistics. --- Sciences sociales --- Statistique --- Démographie --- Business & Economics --- Demography --- Census undercounts --- United States --- Statistics for Social Science, Behavioral Science, Education, Public Policy, and Law. --- Historical demography --- Social sciences --- Population --- Vital statistics --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- Behavioral sciences --- Human sciences --- Sciences, Social --- Social science --- Social studies --- Civilization --- Statistics for Social Sciences, Humanities, Law. --- Statistics .

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This classic text, first published in 1990, is designed to introduce law students, law teachers, practitioners, and judges to the basic ideas of mathematical probability and statistics as they have been applied in the law. The third edition includes over twenty new sections, including the addition of timely topics, like New York City police stops, exonerations in death-sentence cases, projecting airline costs, and new material on various statistical techniques such as the randomized response survey technique, rare-events meta-analysis, competing risks, and negative binomial regression. The book consists of sections of exposition followed by real-world cases and case studies in which statistical data have played a role. The reader is asked to apply the theory to the facts, to calculate results (a hand calculator is sufficient), and to explore legal issues raised by quantitative findings. The authors' calculations and comments are given in the back of the book. As with previous editions, the cases and case studies reflect a broad variety of legal subjects, including antidiscrimination, mass torts, taxation, school finance, identification evidence, preventive detention, handwriting disputes, voting, environmental protection, antitrust, sampling for insurance audits, and the death penalty. A chapter on epidemiology was added in the second edition. In 1991, the first edition was selected by the University of Michigan Law Review as one of the important law books of the year. Michael O. Finkelstein was a practicing lawyer in New York City (now retired). He has for many years been a member of the adjunct faculty of Columbia University Law School, teaching statistics for lawyers, and has also taught that subject at Harvard University, Yale University, and the University of Pennsylvania law schools. He is the author of a  book of essays, Quantitative Methods in Law, and a monograph, Basic Concepts of Probability and Statistics in the Law, as well as numerous law review articles on the applications of statistics in law.  His articles have been cited by the U.S. Supreme Court and other courts. He has been for many years the editor of two law journals, The Review of Securities and Commodities Regulation and The Review of Banking and Financial Services, and is currently their publisher as well.   Bruce Levin is Professor and past Chair of the Department of Biostatistics at the Joseph L. Mailman School of Public Health of Columbia University.  He is a Fellow of the American Statistical Association and an American Public Health Association Statistics Section Award winner.  Dr. Levin has a long-standing interest in statistical methodology for clinical trials, public health, and the law.  Using sequential statistical methods, he has developed innovative trial designs, has served as the senior statistical designer for many randomized clinical trials, and has authored numerous articles on the subject of biostatistics.  He consults and testifies as an expert in legal cases involving statistical issues.

Mathematical Statistics --- Mathematics --- Physical Sciences & Mathematics --- Statistics. --- Law. --- Law --- Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law. --- Fundamentals of Law. --- Law, general. --- Philosophy. --- Statistics for Social Science, Behavioral Science, Education, Public Policy, and Law. --- Jurisprudence --- Acts, Legislative --- Enactments, Legislative --- Laws (Statutes) --- Legislative acts --- Legislative enactments --- Legislation --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Econometrics --- Statistics for Social Sciences, Humanities, Law. --- Statistical methods. --- Statistics . --- Law—Philosophy.

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Th is book covers research design and methodology from a unique and engaging point of view, based on accounts from infl uential researchers across the fi eld of Criminology and Criminal Justice. Most books and articles about research in criminology and criminal justice focus on how the research was carried out: the data that were used, the methods that were applied, the results that were achieved. While these are all important, they do not present a complete picture. Envisioning Criminology: Researchers on Research as a Process of Discovery aims to fi ll that gap by providing nuance--the “back story” of why researchers selected particular problems, how they approached those problems, and how their background, training, and experience aff ected the approaches they took. As the contributions in this book demonstrate, research is not a cut-and-dried process, as all too many methods books imply, but a living, breathing–and in some ways quirky– process that is infl uenced by non-“scientifi c” factors. Th e path taken by a researcher is important, and an appreciation of his or her background, experience, knowledge–and the setbacks and triumphs of performing the research–provides a much more complete picture of how research is done. Th e twenty-eight chapters in this book describe the back stories of their authors, which serve to enlighten readers about the interplay between the personal and the methodological. While primarily aimed as a textbook, this work will also be of interest to researchers in Criminology and Criminal Justice, and related Social and Behavioral Science fi elds as an account of how seminal researchers in the fi eld developed their key contributions.

Social Sciences. --- Criminology & Criminal Justice. --- Methodology of the Social Sciences. --- Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law. --- Social sciences. --- Statistics. --- Criminology. --- Social sciences --- Sciences sociales --- Statistique --- Criminologie --- Methodology. --- Méthodologie --- Criminology, Penology & Juvenile Delinquency --- Social Welfare & Social Work --- Social Sciences --- Criminology and Criminal Justice. --- Criminology and Criminal Justice, general. --- Statistics for Social Science, Behavioral Science, Education, Public Policy, and Law. --- Behavioral sciences --- Human sciences --- Sciences, Social --- Social science --- Social studies --- Civilization --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- Statistics for Social Sciences, Humanities, Law. --- Crime --- Criminals --- Study and teaching --- Criminology --- Research. --- Statistics .

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This is the first book to show the capabilities of Microsoft Excel to teach social science statistics effectively.  It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical social science problems.  If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you.  Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in social science courses.  Its powerful computational ability and graphical functions make learning statistics much easier than in years past.  However, Excel 2013 for Social Science Statistics: A Guide to Solving Practical Problems is the first book to capitalize on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand social science problems.  Practice problems are provided at the end of each chapter with their solutions in an Appendix.  Separately, there is a full Practice Test (with answers in an Appendix) that allows readers to test what they have learned.  Includes 167 illustrations in color Suitable for upper undergraduates or graduate students.

Statistics. --- Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law. --- Methodology of the Social Sciences. --- Psychological Methods/Evaluation. --- Social sciences --- Psychological tests and testing. --- Statistique --- Sciences sociales --- Methodology. --- Méthodologie --- Mathematical Statistics --- Mathematics --- Physical Sciences & Mathematics --- Social sciences. --- Psychology --- Psychological measurement. --- Statistics for Social Science, Behavioral Science, Education, Public Policy, and Law. --- Measurement, Mental --- Measurement, Psychological --- Psychological measurement --- Psychological scaling --- Psychological statistics --- Psychometry (Psychophysics) --- Scaling, Psychological --- Psychological tests --- Scaling (Social sciences) --- Behavioral sciences --- Human sciences --- Sciences, Social --- Social science --- Social studies --- Civilization --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Econometrics --- Measurement --- Scaling --- Methodology --- Statistics for Social Sciences, Humanities, Law. --- Psychometrics. --- Psychology-Methodology. --- Statistics . --- Psychology—Methodology.

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This Third Edition updates the "Solutions Manual for Econometrics" to match the Fifth Edition of the Econometrics textbook. It adds problems and solutions using latest software versions of Stata and EViews. Special features include empirical examples using EViews and Stata. The book offers rigorous proofs and treatment of difficult econometrics concepts in a simple and clear way, and it provides the reader with both applied and theoretical econometrics problems along with their solutions.

Economics/Management Science. --- Econometrics. --- Statistics for Business/Economics/Mathematical Finance/Insurance. --- Game Theory, Economics, Social and Behav. Sciences. --- Economic Theory. --- Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law. --- Economics. --- Mathematics. --- Economics --- Statistics. --- Economie politique --- Mathématiques --- Statistique --- Econométrie --- Business & Economics --- Economic Theory --- Game theory. --- Economic theory. --- Economic Theory/Quantitative Economics/Mathematical Methods. --- Statistics for Social Science, Behavioral Science, Education, Public Policy, and Law. --- Economics, Mathematical --- Statistics --- Economic theory --- Political economy --- Social sciences --- Economic man --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- Games, Theory of --- Theory of games --- Mathematical models --- Statistics for Business, Management, Economics, Finance, Insurance. --- Statistics for Social Sciences, Humanities, Law. --- Math --- Science --- Statistics .