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Author: George A. Milliken Publisher: CRC Press ISBN: 1420010158 Category : Mathematics Languages : en Pages : 690
Book Description
A bestseller for nearly 25 years, Analysis of Messy Data, Volume 1: Designed Experiments helps applied statisticians and researchers analyze the kinds of data sets encountered in the real world. Written by two long-time researchers and professors, this second edition has been fully updated to reflect the many developments that have occurred since t
Author: George A. Milliken Publisher: CRC Press ISBN: 1420010158 Category : Mathematics Languages : en Pages : 690
Book Description
A bestseller for nearly 25 years, Analysis of Messy Data, Volume 1: Designed Experiments helps applied statisticians and researchers analyze the kinds of data sets encountered in the real world. Written by two long-time researchers and professors, this second edition has been fully updated to reflect the many developments that have occurred since t
Author: George A. Milliken Publisher: CRC Press ISBN: 1420036181 Category : Mathematics Languages : en Pages : 625
Book Description
Analysis of covariance is a very useful but often misunderstood methodology for analyzing data where important characteristics of the experimental units are measured but not included as factors in the design. Analysis of Messy Data, Volume 3: Analysis of Covariance takes the unique approach of treating the analysis of covariance problem by looking
Author: George A. Milliken Publisher: CRC Press ISBN: 9780412063718 Category : Mathematics Languages : en Pages : 216
Book Description
Researchers often do not analyze nonreplicated experiments statistically because they are unfamiliar with existing statistical methods that may be applicable. Analysis of Messy Data, Volume II details the statistical methods appropriate for nonreplicated experiments and explores ways to use statistical software to make the required computations feasible.
Author: Robert G. Easterling Publisher: John Wiley & Sons ISBN: 1118954653 Category : Mathematics Languages : en Pages : 272
Book Description
Professionals in all areas – business; government; thephysical, life, and social sciences; engineering; medicine, etc.– benefit from using statistical experimental design tobetter understand their worlds and then use that understanding toimprove the products, processes, and programs they are responsiblefor. This book aims to provide the practitioners of tomorrow with amemorable, easy to read, engaging guide to statistics andexperimental design. This book uses examples, drawn from a variety of established texts,and embeds them in a business or scientific context, seasoned witha dash of humor, to emphasize the issues and ideas that led to theexperiment and the what-do-we-do-next? steps after theexperiment. Graphical data displays are emphasized as means ofdiscovery and communication and formulas are minimized, with afocus on interpreting the results that software produce. The roleof subject-matter knowledge, and passion, is also illustrated. Theexamples do not require specialized knowledge, and the lessons theycontain are transferrable to other contexts. Fundamentals of Statistical Experimental Design and Analysisintroduces the basic elements of an experimental design, and thebasic concepts underlying statistical analyses. Subsequent chaptersaddress the following families of experimental designs: Completely Randomized designs, with single or multipletreatment factors, quantitative or qualitative Randomized Block designs Latin Square designs Split-Unit designs Repeated Measures designs Robust designs Optimal designs Written in an accessible, student-friendly style, this book issuitable for a general audience and particularly for thoseprofessionals seeking to improve and apply their understanding ofexperimental design.
Author: Helge Toutenburg Publisher: Springer Science & Business Media ISBN: 0387227725 Category : Mathematics Languages : en Pages : 507
Book Description
Unique in commencing with relatively simple statistical concepts and ideas found in most introductory statistical textbooks, this book goes on to cover more material useful for undergraduates and graduate in statistics and biostatistics.
Author: Gerry P. Quinn Publisher: Cambridge University Press ISBN: 1009453858 Category : Science Languages : en Pages : 409
Book Description
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.
Author: George A. Milliken Publisher: CRC Press ISBN: 1351697137 Category : Mathematics Languages : en Pages : 208
Book Description
Researchers often do not analyze nonreplicated experiments statistically because they are unfamiliar with existing statistical methods that may be applicable. Analysis of Messy Data, Volume II details the statistical methods appropriate for nonreplicated experiments and explores ways to use statistical software to make the required computations feasible.
Author: George A. Milliken
Author: George A. Milliken
Author: George A. Milliken
Author: GA. Milliken
Author: G.A. Milliken
Author: George A. Milliken
Author: George A. Milliken
Author: Robert G. Easterling
Author: Helge Toutenburg
Author: Gerry P. Quinn
Author: George A. Milliken