applying statistics in the courtroom a new approach for attorneys and expert witnesses

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Applying Statistics In The Courtroom

Author : Philip Good
ISBN : 1420035401
Genre : Mathematics
File Size : 71. 81 MB
Format : PDF
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This publication is directed at both attorneys and statisticians to ensure they will work together successfully on the application of statistics in the law. Attorneys will learn how best to utilize the statistician's talents, while gaining an enriched understanding of the law relevant to audits, jury selection, discrimination, environmental hazards, evidence, and torts as it relates to statistical issues. Statisticians will learn that the law is what judges say it is and to frame their arguments accordingly. This book will increase the effectiveness of both parties in presenting and attacking statistical arguments in the courtroom. Topics covered include sample and survey methods, probability, testing hypotheses, and multiple regression.

A Practitioner S Guide To Resampling For Data Analysis Data Mining And Modeling

Author : Phillip Good
ISBN : 1439855501
Genre : Business & Economics
File Size : 29. 34 MB
Format : PDF
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Distribution-free resampling methods—permutation tests, decision trees, and the bootstrap—are used today in virtually every research area. A Practitioner’s Guide to Resampling for Data Analysis, Data Mining, and Modeling explains how to use the bootstrap to estimate the precision of sample-based estimates and to determine sample size, data permutations to test hypotheses, and the readily-interpreted decision tree to replace arcane regression methods. Highlights Each chapter contains dozens of thought provoking questions, along with applicable R and Stata code Methods are illustrated with examples from agriculture, audits, bird migration, clinical trials, epidemiology, image processing, immunology, medicine, microarrays and gene selection Lists of commercially available software for the bootstrap, decision trees, and permutation tests are incorporated in the text Access to APL, MATLAB, and SC code for many of the routines is provided on the author’s website The text covers estimation, two-sample and k-sample univariate, and multivariate comparisons of means and variances, sample size determination, categorical data, multiple hypotheses, and model building Statistics practitioners will find the methods described in the text easy to learn and to apply in a broad range of subject areas from A for Accounting, Agriculture, Anthropology, Aquatic science, Archaeology, Astronomy, and Atmospheric science to V for Virology and Vocational Guidance, and Z for Zoology. Practitioners and research workers and in the biomedical, engineering and social sciences, as well as advanced students in biology, business, dentistry, medicine, psychology, public health, sociology, and statistics will find an easily-grasped guide to estimation, testing hypotheses and model building.

The A Z Of Error Free Research

Author : Phillip I. Good
ISBN : 9781439897379
Genre : Mathematics
File Size : 90. 38 MB
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A Practical Guide with Step-by-Step Explanations, Numerous Worked Examples, and R Code The A–Z of Error-Free Research describes the design, analysis, modeling, and reporting of experiments, clinical trials, and surveys. The book shows you when to use statistics, the best ways to cope with variation, and how to design an experiment, determine optimal sample size, and collect useable data. It also helps you choose the best statistical procedures for your application and takes you step by step through model development and reporting results for publication. Transition from Student to Researcher Helping you become a confident researcher, the book begins with an overview of when—and when not—to use statistics. It guides you through the planning and data collection phases and presents various data analysis techniques, including methods for sample size determination. The author then covers techniques for developing models that provide a basis for future research. He also discusses reporting techniques to ensure your research efforts get the proper credit. The book concludes with case-control and cohort studies.

Federal Rules Of Evidence

Author : Paul F. Rothstein
ISBN : STANFORD:36105134491401
Genre : Evidence (Law)
File Size : 21. 84 MB
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Guide To Information Sources In The Forensic Sciences

Author : Cynthia Holt
ISBN : STANFORD:36105114529659
Genre : Reference
File Size : 88. 23 MB
Format : PDF, ePub
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From the O. J. Simpson case to the CSI franchise, more and more of us are aware of and curious about the world of forensic science. Cynthia Holt takes that interest and directs it toward the literature that supports and defines the study of how evidence is discovered at a crime scene, interpreted in a lab, and used in a court of law. Her bibliography, grouped by type of material, covers topics such as ballistics, DNA analysis, entymology, expert witnessing, and facial imaging/reconstruction, as well as contributions from academic fields such as anthropology, linguistics, and engineering.

Amstat News

Author :
ISBN : UOM:39015053943877
Genre : Statistics
File Size : 47. 34 MB
Format : PDF, ePub, Mobi
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Journal Of The American Statistical Association

Author :
ISBN : UOM:39015072641353
Genre : Statistics
File Size : 39. 33 MB
Format : PDF, Docs
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