Wiley StatsRef

Wiley StatsRef
Title Wiley StatsRef PDF eBook
Author N. Balakrishnan
Publisher
Pages
Release 2014
Genre Statistics
ISBN 9781118445112

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Wiley StatsRef: Statistics Reference Online is a comprehensive online reference resource which covers the fundamentals and applications of statistics in all fields where it is widely used. This is the most inclusive, authoritative, online reference source available in statistics. Wiley StatsRef is aimed at advanced undergraduates, postgraduates, teachers of statistics, and for experienced researchers entering a new part of the field for the first time.

Statistical Bases of Reference Values in Laboratory Medicine

Statistical Bases of Reference Values in Laboratory Medicine
Title Statistical Bases of Reference Values in Laboratory Medicine PDF eBook
Author Eugene K. Harris
Publisher CRC Press
Pages 388
Release 1995-07-07
Genre Mathematics
ISBN 9780824793395

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Examining the strengths and limitations of various standards of accuracy in clinical laboratory analyses, this detailed reference presents an in-depth study of important theoretical and empirical issues concerning the description, collection, and application of reference values in laboratory medicine.

Statistical Analysis Quick Reference Guidebook

Statistical Analysis Quick Reference Guidebook
Title Statistical Analysis Quick Reference Guidebook PDF eBook
Author Alan C. Elliott
Publisher SAGE
Pages 280
Release 2007
Genre Computers
ISBN 9781412925600

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A practical `cut to the chase′ handbook that quickly explains the when, where, and how of statistical data analysis as it is used for real-world decision-making in a wide variety of disciplines. In this one-stop reference, the authors provide succinct guidelines for performing an analysis, avoiding pitfalls, interpreting results and reporting outcomes.

Statistical Models

Statistical Models
Title Statistical Models PDF eBook
Author David A. Freedman
Publisher Cambridge University Press
Pages 459
Release 2009-04-27
Genre Mathematics
ISBN 1139477315

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This lively and engaging book explains the things you have to know in order to read empirical papers in the social and health sciences, as well as the techniques you need to build statistical models of your own. The discussion in the book is organized around published studies, as are many of the exercises. Relevant journal articles are reprinted at the back of the book. Freedman makes a thorough appraisal of the statistical methods in these papers and in a variety of other examples. He illustrates the principles of modelling, and the pitfalls. The discussion shows you how to think about the critical issues - including the connection (or lack of it) between the statistical models and the real phenomena. The book is written for advanced undergraduates and beginning graduate students in statistics, as well as students and professionals in the social and health sciences.

Foundations of Statistical Algorithms

Foundations of Statistical Algorithms
Title Foundations of Statistical Algorithms PDF eBook
Author Claus Weihs
Publisher CRC Press
Pages 495
Release 2013-12-09
Genre Mathematics
ISBN 1439878870

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A new and refreshingly different approach to presenting the foundations of statistical algorithms, Foundations of Statistical Algorithms: With References to R Packages reviews the historical development of basic algorithms to illuminate the evolution of today’s more powerful statistical algorithms. It emphasizes recurring themes in all statistical algorithms, including computation, assessment and verification, iteration, intuition, randomness, repetition and parallelization, and scalability. Unique in scope, the book reviews the upcoming challenge of scaling many of the established techniques to very large data sets and delves into systematic verification by demonstrating how to derive general classes of worst case inputs and emphasizing the importance of testing over a large number of different inputs. Broadly accessible, the book offers examples, exercises, and selected solutions in each chapter as well as access to a supplementary website. After working through the material covered in the book, readers should not only understand current algorithms but also gain a deeper understanding of how algorithms are constructed, how to evaluate new algorithms, which recurring principles are used to tackle some of the tough problems statistical programmers face, and how to take an idea for a new method and turn it into something practically useful.

The Desk Reference of Statistical Quality Methods

The Desk Reference of Statistical Quality Methods
Title The Desk Reference of Statistical Quality Methods PDF eBook
Author Mark L. Crossley
Publisher Quality Press
Pages 561
Release 2007-07-18
Genre Business & Economics
ISBN 0873897293

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Arranged in alphabetical order for quick reference, this book provides the quality practitioner with a single resource that illustrates, in a practical manner, how to execute specific statistical methods frequently used in the quality sciences. Each method is presented in a stand-alone fashion and includes computational steps, application comments, and a fully illustrated brief presentation on how to use the tool or technique. A plethora of topics have been arranged in alphabetical order, ranging from acceptance sampling control charts to zone format control charts. This reference is accessible for the average quality practitioner who will need a minimal prior understanding of the techniques discussed to benefit from them. Each topic is presented in a standalone fashion with, in most cases, several examples detailing computational steps and application comments. This second edition includes new sections on advanced SPC applications, reliability applications, and Simplex Optimization. There are expansions in the sections on process capability analysis, hypothesis testing, and design of experiments.

Statistical Methods

Statistical Methods
Title Statistical Methods PDF eBook
Author Rudolf J. Freund
Publisher Elsevier
Pages 694
Release 2003-01-07
Genre Mathematics
ISBN 0080498221

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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