Applying Statistics in the Courtroom

Applying Statistics in the Courtroom
Author: Philip Good
Publisher: CRC Press
Total Pages: 295
Release: 2001-07-11
Genre: Law
ISBN: 1420035401
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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.

Statistics in the Courtroom

Statistics in the Courtroom
Author: Charles R. Mann
Publisher:
Total Pages:
Release: 2010
Genre:
ISBN:
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The application of statistics to litigation and regulatory matters has become increasingly important over the last four decades. The presentation of statistical arguments to lay decision makers in an adversarial climate has introduced special, if not unique, practical and ethical issues. These were addressed by statisticians J. L. Gastwirth and J. B. Kadane, and by attorney S. L. Willborn in an American Statistical Association Invited Session chaired by the author during the 2004 Joint Statistical Meetings in Toronto. The papers that follow were prepared to summarize their remarks.

A Career in Statistics

A Career in Statistics
Author: Gerald J. Hahn
Publisher: John Wiley & Sons
Total Pages: 358
Release: 2012-08-29
Genre: Mathematics
ISBN: 1118490134
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A valuable guide to a successful career as a statistician A Career in Statistics: Beyond the Numbers prepares readers for careers in statistics by emphasizing essential concepts and practices beyond the technical tools provided in standard courses and texts. This insider's guide from internationally recognized applied statisticians helps readers decide whether a career in statistics is right for them, provides hands-on guidance on how to prepare for such a career, and shows how to succeed on the job. The book provides non-technical guidance for a successful career. The authors' extensive industrial experience is supplemented by insights from contributing authors from government and academia, Carol Joyce Blumberg, Leonard M. Gaines, Lynne B. Hare, William Q. Meeker, and Josef Schmee. Following an introductory chapter that provides an overview of the field, the authors discuss the various dimensions of a career in applied statistics in three succinct parts: The Work of a Statistician describes the day-to-day activities of applied statisticians in business and industry, official government, and various other application areas, highlighting the work environment and major on-the-job challenges Preparing for a Successful Career in Statistics describes the personal traits that characterize successful statisticians, the education that they need to acquire, and approaches for securing the right job Building a Successful Career as a Statistician offers practical guidance for addressing key challenges that statisticians face on the job, such as project initiation and execution, effective communication, publicizing successes, ethical considerations, and gathering good data; alternative career paths are also described The book concludes with an in-depth examination of careers for statisticians in academia as well as tips to help them stay on top of their field throughout their careers. Each chapter includes thought-provoking discussion questions and a Major Takeaways section that outlines key concepts. Real-world examples illustrate key points, and an FTP site provides additional information on selected topics. A Career in Statistics is an invaluable guide for individuals who are considering or have decided on a career in statistics as well as for statisticians already on the job who want to accelerate their path to success. It also serves as a suitable book for courses on statistical consulting, statistical practice, and statistics in the workplace at the undergraduate and graduate levels.

Common Errors in Statistics (and How to Avoid Them)

Common Errors in Statistics (and How to Avoid Them)
Author: Phillip I. Good
Publisher: John Wiley & Sons
Total Pages: 231
Release: 2011-09-20
Genre: Mathematics
ISBN: 1118211278
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Praise for the Second Edition "All statistics students and teachers will find in this book a friendly and intelligentguide to . . . applied statistics in practice." —Journal of Applied Statistics ". . . a very engaging and valuable book for all who use statistics in any setting." —CHOICE ". . . a concise guide to the basics of statistics, replete with examples . . . a valuablereference for more advanced statisticians as well." —MAA Reviews Now in its Third Edition, the highly readable Common Errors in Statistics (and How to Avoid Them) continues to serve as a thorough and straightforward discussion of basic statistical methods, presentations, approaches, and modeling techniques. Further enriched with new examples and counterexamples from the latest research as well as added coverage of relevant topics, this new edition of the benchmark book addresses popular mistakes often made in data collection and provides an indispensable guide to accurate statistical analysis and reporting. The authors' emphasis on careful practice, combined with a focus on the development of solutions, reveals the true value of statistics when applied correctly in any area of research. The Third Edition has been considerably expanded and revised to include: A new chapter on data quality assessment A new chapter on correlated data An expanded chapter on data analysis covering categorical and ordinal data, continuous measurements, and time-to-event data, including sections on factorial and crossover designs Revamped exercises with a stronger emphasis on solutions An extended chapter on report preparation New sections on factor analysis as well as Poisson and negative binomial regression Providing valuable, up-to-date information in the same user-friendly format as its predecessor, Common Errors in Statistics (and How to Avoid Them), Third Edition is an excellent book for students and professionals in industry, government, medicine, and the social sciences.

Common Errors in Statistics

Common Errors in Statistics
Author: Phillip I. Good
Publisher: John Wiley & Sons
Total Pages: 236
Release: 2003-08-29
Genre: Mathematics
ISBN: 0471463779
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A guide to choosing and using the right techniques High-speed computers and prepackaged statistical routines would seem to take much of the guesswork out of statistical analysis and lend its applications readily accessible to all. Yet, as Phillip Good and James Hardin persuasively argue, statistical software no more makes one a statistician than a scalpel makes one a surgeon. Choosing the proper technique and understanding the analytical context is of paramount importance to the proper application of statistics. The highly readable Common Errors in Statistics (and How to Avoid Them) provides both newly minted academics and professionals who use statistics in their work with a handy field guide to statistical problems and solutions. Good and Hardin begin their handbook by establishing a mathematically rigorous but readily accessible foundation for statistical procedures. They focus on debunking popular myths, analyzing common mistakes, and instructing readers on how to choose the appropriate statistical technique to address their specific task. A handy checklist is provided to summarize the necessary steps. Topics covered include: * Creating a research plan * Formulating a hypothesis * Specifying sample size * Checking assumptions * Interpreting p-values and confidence intervals * Building a model * Data mining * Bayes' Theorem, the bootstrap, and many others Common Errors in Statistics (and How to Avoid Them) also contains reprints of classic articles from statistical literature to re-examine such bedrock subjects as linear regression, the analysis of variance, maximum likelihood, meta-analysis, and the bootstrap. With a final emphasis on finding solutions and on the great value of statistics when applied in the proper context, this book will prove eminently useful to students and professionals in the fields of research, industry, medicine, and government.

Philosophical Foundations of Evidence Law

Philosophical Foundations of Evidence Law
Author: Christian Dahlman
Publisher: Oxford University Press
Total Pages: 433
Release: 2021-09-30
Genre: Law
ISBN: 0192603094
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Philosophy has a strong presence in evidence law and the nature of evidence is a highly debated topic in both general and social epistemology; legal theorists working in the evidence law area draw on different underlying philosophical theories of knowledge, inference and probability. Core evidentiary concepts and principles, such as the presumption of innocence, standards of proof, and others, reply on moral and political philosophy for their understanding and interpretation. Written by leading scholars across the globe, this volume brings together philosophical debates on the nature and function of evidence, proof, and law of evidence. It presents a cross-disciplinary overview of central issues in the theory and methodology of legal evidence and covers a wide range of contemporary debates on topics such as truth, proof, economics, gender, and race. The volume covers different theoretical approaches to legal evidence, including the Bayesian approach, scenario theory and inference to the best explanation. Divided in to five parts, Philosophical Foundations of Evidence Law, covers different theoretical approaches to legal evidence, including the Bayesian approach, scenario theory and inference to the best explanation.

Forensic Analysis on the Cutting Edge

Forensic Analysis on the Cutting Edge
Author: Robert D. Blackledge
Publisher: John Wiley & Sons
Total Pages: 490
Release: 2007-07-16
Genre: Science
ISBN: 0470166908
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This title brings forensic scientists and chemists up-to-date on the latest instrumental methods for analysing trace evidence, including mass spectrometry, image analysis, DIOS-MS, ELISA characterization, statistical validation, and others. Illustrates comparative analysis of trace evidence by both old and new methods. Explains why some newer methods are superior to older, established methods. Includes chapters on analysis of DNA, ink, dyes, glitter, gun powder traces, condom trace evidence, footwear impressions, toolmark impressions, surveillance videos, glass particles, and dirt. Discusses applications such as mass spectrometry, image analysis, desorption-ionization on silicon mass spectrometry (DIOS-MS), ELISA characterization, and statistical validation.

Introduction to Statistics Through Resampling Methods and Microsoft Office Excel

Introduction to Statistics Through Resampling Methods and Microsoft Office Excel
Author: Phillip I. Good
Publisher: John Wiley & Sons
Total Pages: 245
Release: 2005-07-22
Genre: Mathematics
ISBN: 0471741760
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Learn statistical methods quickly and easily with the discovery method With its emphasis on the discovery method, this publication encourages readers to discover solutions on their own rather than simply copy answers or apply a formula by rote. Readers quickly master and learn to apply statistical methods, such as bootstrap, decision trees, t-test, and permutations to better characterize, report, test, and classify their research findings. In addition to traditional methods, specialized methods are covered, allowing readers to select and apply the most effective method for their research, including: * Tests and estimation procedures for one, two, and multiple samples * Model building * Multivariate analysis * Complex experimental design Throughout the text, Microsoft Office Excel(r) is used to illustrate new concepts and assist readers in completing exercises. An Excel Primer is included as an Appendix for readers who need to learn or brush up on their Excel skills. Written in an informal, highly accessible style, this text is an excellent guide to descriptive statistics, estimation, testing hypotheses, and model building. All the pedagogical tools needed to facilitate quick learning are provided: * More than 100 exercises scattered throughout the text stimulate readers' thinking and actively engage them in applying their newfound skills * Companion FTP site provides access to all data sets discussed in the text * An Instructor's Manual is available upon request from the publisher * Dozens of thought-provoking questions in the final chapter assist readers in applying statistics to solve real-life problems * Helpful appendices include an index to Excel and Excel add-in functions This text serves as an excellent introduction to statistics for students in all disciplines. The accessible style and focus on real-life problem solving are perfectly suited to both students and practitioners.

Forensic DNA Evidence Interpretation

Forensic DNA Evidence Interpretation
Author: John S. Buckleton
Publisher: CRC Press
Total Pages: 452
Release: 2018-09-03
Genre: Law
ISBN: 1315360128
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Now in its second edition, Forensic DNA Evidence Interpretation is the most comprehensive resource for DNA casework available today. Written by leaders in the fields of biology and statistics, including a contribution from Peter Gill, the father of DNA analysis, the book emphasizes the interpretation of test results and provides the necessary formulae in an easily accessible manner. This latest edition is fully updated and includes current and emerging techniques in this fast-moving field. The book begins by reviewing all pertinent biology, and then provides information on every aspect of DNA analysis. This includes modern interpretation methods and contemporary population genetic models available for estimating DNA frequencies or likelihood ratios. Following a chapter on procedures for validating databases, the text presents overviews and performance assessments of both modern sampling uncertainty methods and current paternity testing techniques, including new guidelines on paternity testing in alignment with the International Society for Forensic Genetics. Later chapters discuss the latest methods for mixture analysis, LCN (ultra trace) analysis and non-autosomal (mito, X, and Y) DNA analysis. The text concludes with an overview of procedures for disaster victim identification and information on DNA intelligence databases. Highlights of the second edition include: New information about PCR processes, heterozygote balance and back and forward stuttering New information on the interpretation of low template DNA, drop models and continuous models Additional coverage of lineage marker subpopulation effects, mixtures and combinations with autosomal markers This authoritative book provides a link among the biological, forensic, and interpretative domains of the DNA profiling field. It continues to serve as an invaluable resource that allows forensic scientists, technicians, molecular biologists and attorneys to use forensic DNA evidence to its greatest potential.