A useful book for all experimental scientists and statisticians. Analysis of Two-way Layouts is the only book that presents a comprehensive treatment of two-way tables of measurement. The reader will be able to determine the structure of a set of data and this will provide more insight than the usual analyses with analysis of variance and covariance and tests of significance. This book determines how to analyze data in an objective way without relying upon preconceived models. To the extent that the models are used, they are based on a prior detailed examination of the data.
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The title of this book serves its contents well... is presented clearly and concisely...
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Inside This Book
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First Sentence:
In this book the straight line will play a major role. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
concurrent structure, pooled value, diagnostic plot, column markers, column averages, multiplicative structure, replicate measurements, row label Key Phrases - Capitalized Phrases (CAPs): (learn more)
Laboratory Figure, Analysis of Table, Further Discussion of Table, The Brightness of Shrink-wrapped Paper New!
Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
In this book the straight line will play a major role. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
concurrent structure, pooled value, diagnostic plot, column markers, column averages, multiplicative structure, replicate measurements, row label Key Phrases - Capitalized Phrases (CAPs): (learn more)
Laboratory Figure, Analysis of Table, Further Discussion of Table, The Brightness of Shrink-wrapped Paper New!
Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 3
books:
- Statistical Analysis in Chemistry and the Chemical Industry by carl bennett on page 120
- Biometrika Tables for Statisticians by E. S. Pearson on page 44
- Statistical Methods by George W. Snedecor on page 84
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