The Random Factor

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The Random Factor

Author : Mark Robert Rank
Publisher : Univ of California Press
ISBN 13 : 0520390962
Total Pages : 301 pages
Book Rating : 4.5/5 (23 download)

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Book Synopsis The Random Factor by : Mark Robert Rank

Download or read book The Random Factor written by Mark Robert Rank and published by Univ of California Press. This book was released on 2024-04-23 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Luck, chance, and randomness are topics that virtually everyone can relate to and that each of us have been affected by. The Random Factor explores these subjects using a vast array of evidence, fresh insights, and compelling stories based upon the author's long standing research. The range of subjects and scholarship is far reaching and compelling. From history, to the natural world, to our everyday lives, chance is shown to play an important role in shaping various outcomes. Just as important, The Random Factor details the dynamics that determine the ways that luck and chance play themselves out, and it reveals the lessons to be learned in terms of guiding our personal lives and social policies. Mark Robert Rank leads his readers on a fascinating journey across the shifting sands of chance and luck. It is a journey that will change the way we fundamentally understand the world we live in and the manner in which our lives unfold"--

The Random Factor

Author : Prof. Mark Robert Rank
Publisher : Univ of California Press
ISBN 13 : 0520390970
Total Pages : 302 pages
Book Rating : 4.5/5 (23 download)

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Book Synopsis The Random Factor by : Prof. Mark Robert Rank

Download or read book The Random Factor written by Prof. Mark Robert Rank and published by Univ of California Press. This book was released on 2024-04-23 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: Upending notions of predictability and rugged individualism to reveal how truly random the world is. It’s comforting to think that we can be successful because we work hard, climb ladders, and get what we deserve, but each of us has been profoundly touched by randomness. Chance is shown to play a crucial role in shaping outcomes across history, throughout the natural world, and in our everyday lives. In The Random Factor, Mark Robert Rank draws from a wealth of evidence, including interviews and research, to explain how luck and chance play out and reveals how we can use these lessons to guide our personal lives and public policies. The Random Factor traverses luck from macro to micro, from events like the Cuban Missile Crisis to our personal encounters and relationships. From his perspective as a scholar of poverty, Rank also delves into the class and race dynamics of chance, emphasizing the stark disparities it brings to light. This transformative book prompts a new understanding of the twists and turns in our daily lives and encourages readers to fully appreciate the surprising world of randomness in which we live.

The Random Factor

Author : Linda J. LaRosa
Publisher : Doubleday Books
ISBN 13 : 9780385132824
Total Pages : 273 pages
Book Rating : 4.1/5 (328 download)

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Book Synopsis The Random Factor by : Linda J. LaRosa

Download or read book The Random Factor written by Linda J. LaRosa and published by Doubleday Books. This book was released on 1978-01-01 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Doing Meta-Analysis with R

Author : Mathias Harrer
Publisher : CRC Press
ISBN 13 : 1000435636
Total Pages : 500 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Doing Meta-Analysis with R by : Mathias Harrer

Download or read book Doing Meta-Analysis with R written by Mathias Harrer and published by CRC Press. This book was released on 2021-09-15 with total page 500 pages. Available in PDF, EPUB and Kindle. Book excerpt: Doing Meta-Analysis with R: A Hands-On Guide serves as an accessible introduction on how meta-analyses can be conducted in R. Essential steps for meta-analysis are covered, including calculation and pooling of outcome measures, forest plots, heterogeneity diagnostics, subgroup analyses, meta-regression, methods to control for publication bias, risk of bias assessments and plotting tools. Advanced but highly relevant topics such as network meta-analysis, multi-three-level meta-analyses, Bayesian meta-analysis approaches and SEM meta-analysis are also covered. A companion R package, dmetar, is introduced at the beginning of the guide. It contains data sets and several helper functions for the meta and metafor package used in the guide. The programming and statistical background covered in the book are kept at a non-expert level, making the book widely accessible. Features • Contains two introductory chapters on how to set up an R environment and do basic imports/manipulations of meta-analysis data, including exercises • Describes statistical concepts clearly and concisely before applying them in R • Includes step-by-step guidance through the coding required to perform meta-analyses, and a companion R package for the book

Designing Experiments and Analyzing Data

Author : Scott E. Maxwell
Publisher : Psychology Press
ISBN 13 : 0805837183
Total Pages : 1106 pages
Book Rating : 4.8/5 (58 download)

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Book Synopsis Designing Experiments and Analyzing Data by : Scott E. Maxwell

Download or read book Designing Experiments and Analyzing Data written by Scott E. Maxwell and published by Psychology Press. This book was released on 2004 with total page 1106 pages. Available in PDF, EPUB and Kindle. Book excerpt: CD-ROM contains: "SPSS and SAS data sets fpr ,amu pf tje text exercoses as we;; as titorials reviewing basic statistics and simple and multiple regression."

Experimental Design and Data Analysis for Biologists

Author : Gerry P. Quinn
Publisher : Cambridge University Press
ISBN 13 : 1009453858
Total Pages : 409 pages
Book Rating : 4.0/5 (94 download)

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Book Synopsis Experimental Design and Data Analysis for Biologists by : Gerry P. Quinn

Download or read book Experimental Design and Data Analysis for Biologists written by Gerry P. Quinn and published by Cambridge University Press. This book was released on 2023-09-07 with total page 409 pages. Available in PDF, EPUB and Kindle. Book excerpt: Requiring only introductory statistics and basic mathematics, this textbook avoids jargon and provides worked examples, data sets and R code, and review exercises. Designed for advanced undergraduates and postgraduates studying biostatistics and experiment design in biology-related fields, it applies statistical concepts to biological scenarios.

Random Factors in ANOVA

Author : Sally Ann Jackson
Publisher : SAGE
ISBN 13 : 9780803950900
Total Pages : 80 pages
Book Rating : 4.9/5 (59 download)

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Book Synopsis Random Factors in ANOVA by : Sally Ann Jackson

Download or read book Random Factors in ANOVA written by Sally Ann Jackson and published by SAGE. This book was released on 1994 with total page 80 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides the reader with the criteria to make the distinction between fixed and random levels among factors, an important decision that directly reflects the purpose of the research.

An Introduction to Statistical Concepts

Author : Debbie L. Hahs-Vaughn
Publisher : Routledge
ISBN 13 : 1317228731
Total Pages : 1187 pages
Book Rating : 4.3/5 (172 download)

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Book Synopsis An Introduction to Statistical Concepts by : Debbie L. Hahs-Vaughn

Download or read book An Introduction to Statistical Concepts written by Debbie L. Hahs-Vaughn and published by Routledge. This book was released on 2020-02-03 with total page 1187 pages. Available in PDF, EPUB and Kindle. Book excerpt: The new edition of An Introduction to Statistical Concepts is designed to help students really understand statistical concepts, the situations in which they can be used, and how to apply them to data. Hahs-Vaughn and Lomax discuss the most popular, along with many of the lesser-known, procedures and models, whilst also exploring nonparametric procedures used when standard assumptions are violated. They provide in-depth coverage of testing assumptions and highlight several online tools for computing statistics (e.g., effect sizes and their confidence intervals and power). This comprehensive, flexible, and accessible text includes a new chapter on mediation and moderation; expanded coverage of effect sizes; and discussions of sensitivity, specificity, false positive, and false negative, along with using the receiver operator characteristic (ROC) curve. In addition to instructions and screen shots for using SPSS, new to this edition is annotated script for using R. This book, noted for its crystal-clear explanations, and its inclusion of only the most crucial equations, is an invaluable resource for students undertaking a course in statistics in any number of social science and behavioral disciplines—from education, business, communication, exercise science, psychology, sociology and more.

Quantitative Ecology and Evolutionary Biology

Author : Otso Ovaskainen
Publisher : Oxford University Press
ISBN 13 : 0191024236
Total Pages : 241 pages
Book Rating : 4.1/5 (91 download)

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Book Synopsis Quantitative Ecology and Evolutionary Biology by : Otso Ovaskainen

Download or read book Quantitative Ecology and Evolutionary Biology written by Otso Ovaskainen and published by Oxford University Press. This book was released on 2016-09-01 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: This novel, interdisciplinary text achieves an integration of empirical data and theory with the aid of mathematical models and statistical methods. The emphasis throughout is on spatial ecology and evolution, especially on the interplay between environmental heterogeneity and biological processes. The book provides a coherent theme by interlinking the modelling approaches used for different subfields of spatial ecology: movement ecology, population ecology, community ecology, and genetics and evolutionary ecology (each being represented by a separate chapter). Each chapter starts by describing the concept of each modelling approach in its biological context, goes on to present the relevant mathematical models and statistical methods, and ends with a discussion of the benefits and limitations of each approach. The concepts and techniques discussed throughout the book are illustrated throughout with the help of empirical examples. This is an advanced text suitable for any biologist interested in the integration of empirical data and theory in spatial ecology/evolution through the use of quantitative/statistical methods and mathematical models. The book will also be of relevance and use as a textbook for graduate-level courses in spatial ecology, ecological modelling, theoretical ecology, and statistical ecology.

The Reviewer's Guide to Quantitative Methods in the Social Sciences

Author : Gregory R. Hancock
Publisher : Routledge
ISBN 13 : 1135172986
Total Pages : 746 pages
Book Rating : 4.1/5 (351 download)

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Book Synopsis The Reviewer's Guide to Quantitative Methods in the Social Sciences by : Gregory R. Hancock

Download or read book The Reviewer's Guide to Quantitative Methods in the Social Sciences written by Gregory R. Hancock and published by Routledge. This book was released on 2010-04-26 with total page 746 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Reviewer’s Guide to Quantitative Methods in the Social Sciences is designed for evaluators of research manuscripts and proposals in the social and behavioral sciences, and beyond. Its thirty-one uniquely structured chapters cover both traditional and emerging methods of quantitative data analysis, which neither junior nor veteran reviewers can be expected to know in detail. The book updates readers on each technique’s key principles, appropriate usage, underlying assumptions, and limitations. It thereby assists reviewers to offer constructive commentary on works they evaluate, and also serves as an indispensable author’s reference for preparing sound research manuscripts and proposals. Key features include: The chapters cover virtually all of the popular classic and emerging quantitative techniques, thus helping reviewers to evaluate a manuscript’s methodological approach and its data analysis. In addition, the volume serves as an indispensable reference tool for those designing their own research. For ease of use, all chapters follow the same structure: the opening page of each chapter defines and explains the purpose of that statistical method the next one or two pages provide a table listing various criteria that should be considered when evaluating and applying that methodological approach to data analysis the remainder of each chapter contains numbered sections corresponding to the numbered criteria listed in the opening table. Each section explains the role and importance of that particular criterion. Chapters are written by methodological and applied scholars who are expert in the particular quantitative method being reviewed.

Applied Univariate, Bivariate, and Multivariate Statistics

Author : Daniel J. Denis
Publisher : John Wiley & Sons
ISBN 13 : 1118632338
Total Pages : 760 pages
Book Rating : 4.1/5 (186 download)

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Book Synopsis Applied Univariate, Bivariate, and Multivariate Statistics by : Daniel J. Denis

Download or read book Applied Univariate, Bivariate, and Multivariate Statistics written by Daniel J. Denis and published by John Wiley & Sons. This book was released on 2015-12-14 with total page 760 pages. Available in PDF, EPUB and Kindle. Book excerpt: A clear and efficient balance between theory and application of statistical modeling techniques in the social and behavioral sciences Written as a general and accessible introduction, Applied Univariate, Bivariate, and Multivariate Statistics provides an overview of statistical modeling techniques used in fields in the social and behavioral sciences. Blending statistical theory and methodology, the book surveys both the technical and theoretical aspects of good data analysis. Featuring applied resources at various levels, the book includes statistical techniques such as t-tests and correlation as well as more advanced procedures such as MANOVA, factor analysis, and structural equation modeling. To promote a more in-depth interpretation of statistical techniques across the sciences, the book surveys some of the technical arguments underlying formulas and equations. Applied Univariate, Bivariate, and Multivariate Statistics also features Demonstrations of statistical techniques using software packages such as R and SPSS® Examples of hypothetical and real data with subsequent statistical analyses Historical and philosophical insights into many of the techniques used in modern social science A companion website that includes further instructional details, additional data sets, solutions to selected exercises, and multiple programming options An ideal textbook for courses in statistics and methodology at the upper- undergraduate and graduate-levels in psychology, political science, biology, sociology, education, economics, communications, law, and survey research, Applied Univariate, Bivariate, and Multivariate Statistics is also a useful reference for practitioners and researchers in their field of application. DANIEL J. DENIS, PhD, is Associate Professor of Quantitative Psychology at the University of Montana where he teaches courses in univariate and multivariate statistics. He has published a number of articles in peer-reviewed journals and has served as consultant to researchers and practitioners in a variety of fields.

Genetic Data Analysis for Plant and Animal Breeding

Author : Fikret Isik
Publisher : Springer
ISBN 13 : 3319551779
Total Pages : 409 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Genetic Data Analysis for Plant and Animal Breeding by : Fikret Isik

Download or read book Genetic Data Analysis for Plant and Animal Breeding written by Fikret Isik and published by Springer. This book was released on 2017-09-09 with total page 409 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book fills the gap between textbooks of quantitative genetic theory, and software manuals that provide details on analytical methods but little context or perspective on which methods may be most appropriate for a particular application. Accordingly this book is composed of two sections. The first section (Chapters 1 to 8) covers topics of classical phenotypic data analysis for prediction of breeding values in animal and plant breeding programs. In the second section (Chapters 9 to 13) we provide the concept and overall review of available tools for using DNA markers for predictions of genetic merits in breeding populations. With advances in DNA sequencing technologies, genomic data, especially single nucleotide polymorphism (SNP) markers, have become available for animal and plant breeding programs in recent years. Analysis of DNA markers for prediction of genetic merit is a relatively new and active research area. The algorithms and software to implement these algorithms are changing rapidly. This section represents state-of-the-art knowledge on the tools and technologies available for genetic analysis of plants and animals. However, readers should be aware that the methods or statistical packages covered here may not be available or they might be out of date in a few years. Ultimately the book is intended for professional breeders interested in utilizing these tools and approaches in their breeding programs. Lastly, we anticipate the usage of this volume for advanced level graduate courses in agricultural and breeding courses.

DESIGN AND ANALYSIS OF EXPERIMENTS

Author : R. PANNERSELVAM
Publisher : PHI Learning Pvt. Ltd.
ISBN 13 : 8120344995
Total Pages : 574 pages
Book Rating : 4.1/5 (23 download)

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Book Synopsis DESIGN AND ANALYSIS OF EXPERIMENTS by : R. PANNERSELVAM

Download or read book DESIGN AND ANALYSIS OF EXPERIMENTS written by R. PANNERSELVAM and published by PHI Learning Pvt. Ltd.. This book was released on 2012-11-24 with total page 574 pages. Available in PDF, EPUB and Kindle. Book excerpt: Designed primarily as a text for the undergraduate and postgraduate students of industrial engineering, chemical engineering, production engineering, mechanical engineering, and quality engineering and management, it covers fundamentals as well as advanced concepts of Design of Experiments. The text is written in a way that helps students to independently design industrial experiments and to analyze for the inferences. Written in an easy-to-read style, it discusses different experimental design techniques such as completely randomized design, randomized complete block design and Latin square design. Besides this, the book also covers 22, 23, and 3n factorial experiments; two-stage, three-stage and mixed design with nested factors and factorial factors; different methods of orthogonal array design; and multivariate analysis of variance (MANOVA) for one-way MANOVA and factorial MANOVA. KEY FEATURES : Case Studies to illustrate the concepts and techniques Chapter end questions on prototype reality problems Yates algorithm for 2n factorial experiments Answers to Selected Questions

Analysis of Variance in Experimental Design

Author : Harold R. Lindman
Publisher : Springer Science & Business Media
ISBN 13 : 1461397227
Total Pages : 532 pages
Book Rating : 4.4/5 (613 download)

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Book Synopsis Analysis of Variance in Experimental Design by : Harold R. Lindman

Download or read book Analysis of Variance in Experimental Design written by Harold R. Lindman and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 532 pages. Available in PDF, EPUB and Kindle. Book excerpt: As an introductory textbook on the analysis of variance or a reference for the researcher, this text stresses applications rather than theory, but gives enough theory to enable the reader to apply the methods intelligently rather than mechanically. Comprehensive, and covering the important techniques in the field, including new methods of post hoc testing. The relationships between different research designs are emphasized, and these relationships are exploited to develop general principles which are generalized to the analyses of a large number of seemingly differentdesigns. Primarily for graduate students in any field where statistics are used.

Guide to Writing Empirical Papers, Theses, and Dissertations

Author : G. David Garson
Publisher : CRC Press
ISBN 13 : 1482270994
Total Pages : 359 pages
Book Rating : 4.4/5 (822 download)

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Book Synopsis Guide to Writing Empirical Papers, Theses, and Dissertations by : G. David Garson

Download or read book Guide to Writing Empirical Papers, Theses, and Dissertations written by G. David Garson and published by CRC Press. This book was released on 2001-11-21 with total page 359 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Describes the quantitative research process--framing analytical questions, developing a comprehensive outline, providing a roadmap for the reader, and accessing indispensable computer and program tools. Supplies end-of-chapter checklists, extensive examples, and biobliographies."

Statistical Case Studies for Industrial Process Improvement

Author : Veronica Czitrom
Publisher : SIAM
ISBN 13 : 0898713943
Total Pages : 510 pages
Book Rating : 4.8/5 (987 download)

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Book Synopsis Statistical Case Studies for Industrial Process Improvement by : Veronica Czitrom

Download or read book Statistical Case Studies for Industrial Process Improvement written by Veronica Czitrom and published by SIAM. This book was released on 1997-01-01 with total page 510 pages. Available in PDF, EPUB and Kindle. Book excerpt: A selection of studies by professionals in the semiconductor industry illustrating the use of statistical methods to improve manufacturing processes.

The Design and Statistical Analysis of Animal Experiments

Author : Simon T. Bate
Publisher : Cambridge University Press
ISBN 13 : 1107782902
Total Pages : 327 pages
Book Rating : 4.1/5 (77 download)

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Book Synopsis The Design and Statistical Analysis of Animal Experiments by : Simon T. Bate

Download or read book The Design and Statistical Analysis of Animal Experiments written by Simon T. Bate and published by Cambridge University Press. This book was released on 2014-03-13 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written for animal researchers, this book provides a comprehensive guide to the design and statistical analysis of animal experiments. It has long been recognised that the proper implementation of these techniques helps reduce the number of animals needed. By using real-life examples to make them more accessible, this book explains the statistical tools employed by practitioners. A wide range of design types are considered, including block, factorial, nested, cross-over, dose-escalation and repeated measures and techniques are introduced to analyse the experimental data generated. Each analysis technique is described in non-mathematical terms, helping readers without a statistical background to understand key techniques such as t-tests, ANOVA, repeated measures, analysis of covariance, multiple comparison tests, non-parametric and survival analysis. This is also the first text to describe technical aspects of InVivoStat, a powerful open-source software package developed by the authors to enable animal researchers to analyse their data and obtain informative results.