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Author: Peter M. B. Cahusac
Publisher: John Wiley & Sons
ISBN: 1119549825
Category : Mathematics
Languages : en
Pages : 256
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Book Description
Evidence-Based Statistics: An Introduction to the Evidential Approach – from Likelihood Principle to Statistical Practice provides readers with a comprehensive and thorough guide to the evidential approach in statistics. The approach uses likelihood ratios, rather than the probabilities used by other statistical inference approaches. The evidential approach is conceptually easier to grasp, and the calculations more straightforward to perform. This book explains how to express data in terms of the strength of statistical evidence for competing hypotheses. The evidential approach is currently underused, despite its mathematical precision and statistical validity. Evidence-Based Statistics is an accessible and practical text filled with examples, illustrations and exercises. Additionally, the companion website complements and expands on the information contained in the book. While the evidential approach is unlikely to replace probability-based methods of statistical inference, it provides a useful addition to any statistician’s "bag of tricks." In this book: It explains how to calculate statistical evidence for commonly used analyses, in a step-by-step fashion Analyses include: t tests, ANOVA (one-way, factorial, between- and within-participants, mixed), categorical analyses (binomial, Poisson, McNemar, rate ratio, odds ratio, data that's 'too good to be true', multi-way tables), correlation, regression and nonparametric analyses (one sample, related samples, independent samples, multiple independent samples, permutation and bootstraps) Equations are given for all analyses, and R statistical code provided for many of the analyses Sample size calculations for evidential probabilities of misleading and weak evidence are explained Useful techniques, like Matthews's critical prior interval, Goodman's Bayes factor, and Armitage's stopping rule are described Recommended for undergraduate and graduate students in any field that relies heavily on statistical analysis, as well as active researchers and professionals in those fields, Evidence-Based Statistics: An Introduction to the Evidential Approach – from Likelihood Principle to Statistical Practice belongs on the bookshelf of anyone who wants to amplify and empower their approach to statistical analysis.
Author: Peter M. B. Cahusac
Publisher: John Wiley & Sons
ISBN: 1119549825
Category : Mathematics
Languages : en
Pages : 256
Get Book Here
Book Description
Evidence-Based Statistics: An Introduction to the Evidential Approach – from Likelihood Principle to Statistical Practice provides readers with a comprehensive and thorough guide to the evidential approach in statistics. The approach uses likelihood ratios, rather than the probabilities used by other statistical inference approaches. The evidential approach is conceptually easier to grasp, and the calculations more straightforward to perform. This book explains how to express data in terms of the strength of statistical evidence for competing hypotheses. The evidential approach is currently underused, despite its mathematical precision and statistical validity. Evidence-Based Statistics is an accessible and practical text filled with examples, illustrations and exercises. Additionally, the companion website complements and expands on the information contained in the book. While the evidential approach is unlikely to replace probability-based methods of statistical inference, it provides a useful addition to any statistician’s "bag of tricks." In this book: It explains how to calculate statistical evidence for commonly used analyses, in a step-by-step fashion Analyses include: t tests, ANOVA (one-way, factorial, between- and within-participants, mixed), categorical analyses (binomial, Poisson, McNemar, rate ratio, odds ratio, data that's 'too good to be true', multi-way tables), correlation, regression and nonparametric analyses (one sample, related samples, independent samples, multiple independent samples, permutation and bootstraps) Equations are given for all analyses, and R statistical code provided for many of the analyses Sample size calculations for evidential probabilities of misleading and weak evidence are explained Useful techniques, like Matthews's critical prior interval, Goodman's Bayes factor, and Armitage's stopping rule are described Recommended for undergraduate and graduate students in any field that relies heavily on statistical analysis, as well as active researchers and professionals in those fields, Evidence-Based Statistics: An Introduction to the Evidential Approach – from Likelihood Principle to Statistical Practice belongs on the bookshelf of anyone who wants to amplify and empower their approach to statistical analysis.
Author: Patricia de Winter
Publisher: John Wiley & Sons
ISBN: 1118920554
Category : Science
Languages : en
Pages : 316
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Book Description
To form a strong grounding in human-related sciences it is essential for students to grasp the fundamental concepts of statistical analysis, rather than simply learning to use statistical software. Although the software is useful, it does not arm a student with the skills necessary to formulate the experimental design and analysis of a research project in later years of study or indeed, if working in research. This textbook deftly covers a topic that many students find difficult. With an engaging and accessible style it provides the necessary background and tools for students to use statistics confidently and creatively in their studies and future career. Key features: Up-to-date methodology, techniques and current examples relevant to the analysis of large data sets, putting statistics in context Strong emphasis on experimental design Clear illustrations throughout that support and clarify the text A companion website with explanations on how to apply learning to related software packages This is an introductory book written for undergraduate biomedical and social science students with a focus on human health, interactions, and disease. It is also useful for graduate students in these areas, and for practitioners requiring a modern refresher.
Author: Daniel Zwillinger
Publisher: CRC Press
ISBN: 9781420050264
Category : Mathematics
Languages : en
Pages : 576
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Book Description
Whether you are a statistician, engineer, or businessperson, you need statistics. You want to be able to easily reference tables, find formulas, and know how to use them so you can extract information from data without getting bogged down by advanced statistical methods. Your goal is to determine the appropriate statistical procedures and interpret the results. Standard Probability and Statistics: Tables and Formulae provides the tools you need to do just that. Logically organized and reaching far beyond a mere catalog, a textual description accompanies each entry- most include an example. The topics addressed are directly applicable to modern business and engineering as well as to statistics, including regression analysis, ANOVA, decision theory, signal processing, and control theory. The result is an accessible, example-oriented handbook that supplies the basic principles, the most commonly used values, and the information to make them work for you. It is easy to fill a statistics reference with hundreds of pages of tables - sometimes for just one test. This handbook is much more. With topics ranging from classical statistics to modern applications, Standard Probability and Statistics fills the need for an up-to-date, authoritative statistics reference.
Author: Chava Frankfort-Nachmias
Publisher: SAGE Publications
ISBN: 1544358679
Category : Mathematics
Languages : en
Pages : 579
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Book Description
The Ninth Edition of Social Statistics for a Diverse Society continues to emphasize intuition and common sense, while demonstrating the link between the practice of statistics and important social issues.
Author: Stefan Th. Gries
Publisher: Walter de Gruyter
ISBN: 3110307472
Category : Language Arts & Disciplines
Languages : en
Pages : 374
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Book Description
This book is the revised and extended second edition of Statistics for Linguistics with R. The volume is an introduction to statistics for linguists using the open source software R. It is aimed at students and instructors/professors with little or no statistical background and is written in a non-technical and reader-friendly/accessible style. It first introduces in detail the overall logic underlying quantitative studies: exploration, hypothesis formulation and operationalization, and the notion and meaning of significance tests. It then introduces some basics of the software R relevant to statistical data analysis. A chapter on descriptive statistics explains how summary statistics for frequencies, averages, and correlations are generated with R and how they are graphically represented best. A chapter on analytical statistics explains how statistical tests are performed in R on the basis of many different linguistic case studies: For nearly every single example, it is explained what the structure of the test looks like, how hypotheses are formulated, explored, and tested for statistical significance, how the results are graphically represented, and how one would summarize them in a paper/article. A chapter on selected multifactorial methods introduces how more complex research designs can be studied: methods for the study of multifactorial frequency data, correlations, tests for means, and binary response data are discussed and exemplified step-by-step. Also, the exploratory approach of hierarchical cluster analysis is illustrated in detail. The book comes with many exercises, boxes with short think breaks and warnings, recommendations for further study, and answer keys as well as a statistics for linguists newsgroup on the companion website. Just like the first edition, it is aimed at students, faculty, and researchers with little or no statistical background in statistics or the open source programming language R. It avoids mathematical jargon and discusses the logic and structure of quantitative studies and introduces descriptive statistics as well as a range of monofactorial statistical tests for frequencies, distributions, means, dispersions, and correlations. The comprehensive revision includes new small sections on programming topics that facilitate statistical analysis, the addition of a variety of statistical functions readers can apply to their own data, a revision of overview sections on statistical tests and regression modeling, a complete rewrite of the chapter on multifactorial approaches, which now contains sections on linear regression, binary and ordinal logistic regression, multinomial and Poisson regression, and repeated-measures ANOVA, and a new visual tool to identify the right statistical test for a given problem and data set. The amount of code available from the companion website has doubled in size, providing much supplementary material on statistical tests and advanced plotting.
Author: David de Vaus
Publisher: Routledge
ISBN: 1136996311
Category : Social Science
Languages : en
Pages : 394
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Book Description
This work provides advice on how to plan, conduct and analyze social surveys. It emphasizes the links between theory and research, the logic and interpretation of statistics, and the practices of social research. The fifth edition includes a new chapter on ethics and a glossary. It assumes no background in statistical analysis, and gives readers the tools they need to come to grips with this often confusing field.
Author: Michael O'Donnell
Publisher: Troubador Publishing Ltd
ISBN: 1780884265
Category : Humor
Languages : en
Pages : 417
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Book Description
A witty, often satirical, A-Z medical encyclopedia, written by doctor and broadcaster, Michael O’Donnell whose barefaced approach to medicine is often serious but never solemn, and always entertaining.From an early age – his father was a GP in a Yorkshire mining village – Michael O’Donnell was aware of the oddities, uncertainties, life-affirming surprises and black comedy that make the practice of medicine so rewarding. His observations were enhanced when he worked as a GP in the ‘gilded south’ before becoming editor of World Medicine, rebel in residence on the General Medical Council, international medical journalist, and writer and presenter of over 100 television and radio medical documentaries.Inspired by a lifelong exposure to medical culture, and with tongue firmly in cheek, Michael defines, dissects and discusses a vast range of topics in his latest book. Including:• Arcanian: The approved language for discourse between politicians, NHS managers, and interdisciplinary in-depth strategic thinkers seeking to roll out a raft of innovative frameworks• Data: Information published in medical journals in lieu of thought.• Doubt: Apart from death, the only certainty in medicine.• Herbaceous fever: Obsessional state induced by overexposure to television gardening programmes.• Modernising the NHS: Striving earnestly to fix that which does not need fixing while not fixing that which does. • Patients: Quirky individuals put on this earth to thwart the plans of clear-thinking, well-meaning nurses, doctors, and health administrators. • Socialised medicine: Phrase US citizens use to denounce any healthcare system more equitable than their own.• Superstition: The irrational beliefs of other people. Our own irrational beliefs we call Faith
Author:
Publisher:
ISBN:
Category : Universities and colleges
Languages : en
Pages : 294
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Book Description
Author: Lawrence A. Kaplan
Publisher:
ISBN:
Category : Medical
Languages : en
Pages : 1210
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Book Description
This comprehensive, up-to-date, readable text acts as a complete clinical chemistry course and professional reference, providing detailed, specific information on the principles of clinical chemistry in laboratory diagnosis as well as the pathophysiologic changes that occur in disease and affect testing outcomes. Explanations of Laboratory Techniques (Part 1) lead the reader through various necessary laboratory techniques and practices. Chapters on Pathophysiology (Part 2) provide descriptions of how specific diseases affect the human body. A companion CD-ROM packaged with the book features Methods of Analysis, a comprehensive Urinalysis Manual, and an interactive Study Guide/Workbook to reinforce concepts. The book's clear writing and comprehensive coverage make it an ideal resource for both students and practitioners. Instructor resources are available to qualified adopters; contact your sales representative for more information.
Author: William G. Zikmund
Publisher: South Western Educational Publishing
ISBN:
Category : Business & Economics
Languages : en
Pages : 776
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Book Description
Provides current and comprehensive coverage of business research. Its student friendly design contains numerous examples illustrating real world research in management, marketing, finance, accounting and other business areas.
