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Principles & Methods of Statistical Analysis

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Release : 2017-01-20
Genre : Social Science
Kind : eBook
Book Rating : 607/5 ( reviews)

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Book Synopsis Principles & Methods of Statistical Analysis by : Jerome Frieman

Download or read book Principles & Methods of Statistical Analysis written by Jerome Frieman. This book was released on 2017-01-20. Available in PDF, EPUB and Kindle. Book excerpt: This unique intermediate/advanced statistics text uses real research on antisocial behaviors, such as cyberbullying, stereotyping, prejudice, and discrimination, to help readers across the social and behavioral sciences understand the underlying theory behind statistical methods. By presenting examples and principles of statistics within the context of these timely issues, the text shows how the results of analyses can be used to answer research questions. New techniques for data analysis and a wide range of topics are covered, including how to deal with "messy data" and the importance of engaging in exploratory data analysis.

Principles & Methods of Statistical Analysis

Download Principles & Methods of Statistical Analysis PDF Online Free

Author :
Release : 2018
Genre : Statistics
Kind : eBook
Book Rating : 903/5 ( reviews)

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Book Synopsis Principles & Methods of Statistical Analysis by : Jerome Frieman

Download or read book Principles & Methods of Statistical Analysis written by Jerome Frieman. This book was released on 2018. Available in PDF, EPUB and Kindle. Book excerpt: Key Features: Coverage of traditional concepts in statistics includes expected value operators, likelihood functions, maximum likelihood estimation, and least squares estimation, preparing students for concepts they will continue to encounter in more advanced material. Real research on specific antisocial behaviors provides consistent context for answering research questions in an interesting and intuitive way. Discussion of statistical inference in an easy-to-understand manner ensures that students have the foundation they need to avoid misusing hypothesis tests. A detailed presentation of resampling methods and randomization tests for experiments and correlation provides a better way to analyze data when the assumptions of the classical tests are not met. A number of current techniques for data analysis not included in other textbooks are introduced, including quantile plots, quantile-quantile plots, normal quantile plots, analysis of residuals in scatter plots, bootstrap methods, robust estimators, robust regression, and the use of randomization (permutation) tests for experiments and correlation.

Statistical Methods

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Author :
Release : 2003-01-07
Genre : Mathematics
Kind : eBook
Book Rating : 221/5 ( reviews)

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Book Synopsis Statistical Methods by : Rudolf J. Freund

Download or read book Statistical Methods written by Rudolf J. Freund. This book was released on 2003-01-07. Available in PDF, EPUB and Kindle. Book excerpt: This broad text provides a complete overview of most standard statistical methods, including multiple regression, analysis of variance, experimental design, and sampling techniques. Assuming a background of only two years of high school algebra, this book teaches intelligent data analysis and covers the principles of good data collection. * Provides a complete discussion of analysis of data including estimation, diagnostics, and remedial actions * Examples contain graphical illustration for ease of interpretation * Intended for use with almost any statistical software * Examples are worked to a logical conclusion, including interpretation of results * A complete Instructor's Manual is available to adopters

Principles of Statistical Data Handling

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Author :
Release : 1996-04-09
Genre : Education
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Principles of Statistical Data Handling by : Fred Davidson

Download or read book Principles of Statistical Data Handling written by Fred Davidson. This book was released on 1996-04-09. Available in PDF, EPUB and Kindle. Book excerpt: Principles of Statistical Data Handling is designed to help readers understand the principles of data handling so that they can make better use of computer data in research or study.

Statistical Design, Monitoring, and Analysis of Clinical Trials

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Release : 2021-10-25
Genre : Medical
Kind : eBook
Book Rating : 757/5 ( reviews)

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Book Synopsis Statistical Design, Monitoring, and Analysis of Clinical Trials by : Weichung Joe Shih

Download or read book Statistical Design, Monitoring, and Analysis of Clinical Trials written by Weichung Joe Shih. This book was released on 2021-10-25. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Design, Monitoring, and Analysis of Clinical Trials, Second Edition concentrates on the biostatistics component of clinical trials. This new edition is updated throughout and includes five new chapters. Developed from the authors’ courses taught to public health and medical students, residents, and fellows during the past 20 years, the text shows how biostatistics in clinical trials is an integration of many fundamental scientific principles and statistical methods. The book begins with ethical and safety principles, core trial design concepts, the principles and methods of sample size and power calculation, and analysis of covariance and stratified analysis. It then focuses on sequential designs and methods for two-stage Phase II cancer trials to Phase III group sequential trials, covering monitoring safety, futility, and efficacy. The authors also discuss the development of sample size reestimation and adaptive group sequential procedures, phase 2/3 seamless design and trials with predictive biomarkers, exploit multiple testing procedures, and explain the concept of estimand, intercurrent events, and different missing data processes, and describe how to analyze incomplete data by proper multiple imputations. This text reflects the academic research, commercial development, and public health aspects of clinical trials. It gives students and practitioners a multidisciplinary understanding of the concepts and techniques involved in designing, monitoring, and analyzing various types of trials. The book’s balanced set of homework assignments and in-class exercises are appropriate for students and researchers in (bio)statistics, epidemiology, medicine, pharmacy, and public health.

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