Statistical principles in experimental design


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The Principles of Statistical Mechanics
29 May 2011

The Principles of Statistical Mechanics
The Principles of Statistical Mechanics
661 pages | Aug 31 1985 |ISBN:0486638960 | PDF | 55.5 Mb

Classic treatment of a subject essential to contemporary physics. Classical and quantum statistical mechanics, plus application to thermodynamic behavior.
Principles of Experimental Psychopathology
22 May 2012

Principles of Experimental Psychopathology

Principles of Experimental Psychopathology: Essays in Honor of Brendan A. Maher
2003| ISBN: 1557989281 | PDF | 305 pages | 8.16 MB

Experimental Design A Chemometric Approach
12 June 2010

Experimental Design: A Chemometric Approach
Experimental Design: A Chemometric Approach
Publisher: Elsevier Science Ltd | 1987-07 | ISBN: 0444427341 | PDF | 300 pages | 15.09 MB

Now available is the second edition of a book which has been described as "...an exceptionally lucid, easy-to-read presentation... would be an excellent addition to the collection of every analytical chemist. I recommend it with great enthusiasm." (Analytical Chemistry). N.R. Draper reviewed the first edition in Publication of the International Statistical Institute "...discussion is careful, sensible, amicable, and modern and can be recommended for the intended readership."
The Handbook of Parametric and Nonparametric Statistical Procedures, 2nd edition
14 May 2013

The Handbook of Parametric and Nonparametric Statistical Procedures, 2nd edition
The Handbook of Parametric and Nonparametric Statistical Procedures, 2nd edition
by David Sheskin
English | 2000 | ISBN: 158488133X | 1016 pages | PDF | 9.50 MB

A compendium of the most commonly-used classical statistical procedures that one is likely to encounter either in practice or in the literature where statistical methods are applied. It offers both students and experienced researchers practical information for analysis and research. There is detailed coverage of over 100 statistical procedures and application is emphasized over theory. Examples of issues relating to experimental design, control and statistical ana
Optimal Experimental Design with R
8 February 2012

Optimal Experimental Design with R

Optimal Experimental Design with R
May 18, 2011 | ISBN-10: 1439816972 | 345 pages | PDF | 5.1 MB

Experimental design is often overlooked in the literature of applied and mathematical statistics: statistics is taught and understood as merely a collection of methods for analyzing data. Consequently, experimenters seldom think about optimal design, including prerequisites such as the necessary sample size needed for a precise answer for an experimental question.
Statistical Design and Analysis of Experiments
16 February 2011

Statistical Design and Analysis of Experiments

Statistical Design and Analysis of Experiments

1998 | 380 | ISBN: 0898714273 | DJVU | 3 Mb

Readers will find this book an invaluable reference on the design of experiments. It contains hard-to-find information on topics such as change-over designs with residual effects and early treatment of analysis of covariance. Other topics include linear models and quadratic forms, experiments with one or more factors, Latin square designs, and fractions of 2n factorial designs. There is also extensive coverage of the analysis of incomplete block designs and of the existence and construction of balanced and partially balanced designs. A new preface (to the classics edition) describes the changes made in experimental design since the book was first published in 1971. It discusses the use of personal computers to analyze data and details the emergence of industrial statistics. ...
Experimental Methods in Rf Design
1 February 2013

Experimental Methods in Rf Design
Experimental Methods in Rf Design By Wes Hayward, Rick Campbell, Bob Larkin
English | 2003 | ISBN: 0872598799 | 512 pages | PDF | 224.36 Mb


Experimental Techniques in Low-Temperature Physics
12 August 2011

Experimental Techniques in Low-Temperature Physics

Experimental Techniques in Low-Temperature Physics

1979 | 344 | ISBN: 019851381X | DJVU | 3 Mb

This book is for those physicists, physical chemists, metallurgists and engineers who need to carry out investigations at low temperatures. It deals with the production and measurement of low temperatures, the handling of liquefied gases on the laboratory scale, and the principles and details of the design of experimental cryostats, including the problems of heat transfer and temperature control. While covering the technical details needed by professional researchers, such as the electrical and thermal conductivities of materials used in making low temperature equipment, the book includes enough explanations of the fundamental principles that it will also be useful to advanced university students....
Experimental Methods for Engineers, 8th edition
12 January 2014

Experimental Methods for Engineers, 8th edition
Experimental Methods for Engineers, 8th edition By J. P. Holman
2011 | 739 Pages | ISBN: 0073529303 | PDF | 11 MB


Experimental Methods for Engineers, 8/e, offers the broadest range of experimental measurement techniques available for mechanical and general engineering applications. Offering clear descriptions of the general behavior of different measurement techniques, such as pressure, flow, and temperature, the text emphasizes the use of uncertainty analysis and statistical data analysis in estimating the accuracy of measurements. Maintaining its thorough coverage of thermal-fluid measurement techniques, the text continues to emphasize experimental uncertainties as essential elements in experiment design, execution, and instrument selection.
Applied Multivariate Statistical Analysis, 6th Edition
5 May 2014

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Richard A. Johnson and Dean W. Wichern, "Applied Multivariate Statistical Analysis, 6 edition"
English | ISBN: 1292024941, 1299960308 | 2014 | 776 pages | PDF | 8 MB

For courses in Multivariate Statistics, Marketing Research, Intermediate Business Statistics, Statistics in Education, and graduate-level courses in Experimental Design and Statistics.
Appropriate for experimental scientists in a variety of disciplines, this market-leading text offers a readable introduction to the statistical analysis of multivariate observations. Its primary goal is to impart the knowledge necessary to make proper interpretations and select appropriate techniques for analyzing multivariate data. Ideal for a junior/senior or graduate level course that explores the statistical methods for describing and analyzing multivariate data, the text assumes two or more statistics courses as a prerequisite.