Data Driven Statistical Methods is designed for use either as a text book at the undergraduate level, as a source book providing material and suggestions for teachers wishing to incorporate some of its features into more general courses, and also as a self-instruction manual for applied statisticians seeking a simple introduction to many important practical concepts that use the 'data driven' rather than the 'model driven' approach.
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Editorial Reviews
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This scholarly book brings together a vast literature on methods for analyzing and modeling rank data...it is a mathematical statistics book in the best sense of the word...
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28 of 28 people found the following review helpful:
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covers the computer-intensive methods among others,
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This review is from: Data Driven Statistical Methods (Chapman & Hall/CRC Texts in Statistical Science) (Hardcover)
In this computer age, statistical methods like the bootstrap, that can be based solely on the data at hand become very practical. Sprent focusses on the bootstrap, permutation methods and cross-validation. He also covers with other nonparametric techniques. When dealing with modeling techniques he emphasizes robust methods outlier detection and model diagnostics. These are all important tools when applying statistics in the "real world". Many of the techniques are computer-intensive. With the speed of computing increasing at such an amazing rate, methods considered impractical 20 or 25 years ago are now commonplace. This is a very well-written intermediate level statistical text.
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Inside This Book
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First Sentence:
Data are the raw material of applied statistics - providing a focal point or pivot in statistical methodology. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
combined sample median, true bootstrap standard error, control median test, first sample values, rxc tables, permutation reference set, first sample sum, second sample values, contaminated observations, contingency table format, exact permutation test, expected normal scores, classic least squares, heavy tying, factorial treatment structures, bootstrap median, rogue observations, fixed marginal totals, exact confidence level, bootstrap samples, deletion residual, normal scores test, permutation distribution, permutation theory, common odds ratio Key Phrases - Capitalized Phrases (CAPs): (learn more)
Monte Carlo, Promoted Not Promoted Total Minority, Inspecting Table New!
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Data are the raw material of applied statistics - providing a focal point or pivot in statistical methodology. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
combined sample median, true bootstrap standard error, control median test, first sample values, rxc tables, permutation reference set, first sample sum, second sample values, contaminated observations, contingency table format, exact permutation test, expected normal scores, classic least squares, heavy tying, factorial treatment structures, bootstrap median, rogue observations, fixed marginal totals, exact confidence level, bootstrap samples, deletion residual, normal scores test, permutation distribution, permutation theory, common odds ratio Key Phrases - Capitalized Phrases (CAPs): (learn more)
Monte Carlo, Promoted Not Promoted Total Minority, Inspecting Table New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 56
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33
books
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- Practical Statistics for Medical Research (Chapman & Hall/CRC Texts in Statistical Science) by Douglas G. Altman in Front Matter, and Back Matter
- Modelling Binary Data, Second Edition (Chapman & Hall/CRC Texts in Statistical Science) by David Collett in Front Matter, and Back Matter
- Essential Statistics, Fourth Edition (CRC/C&h Texts in Statistical Science) by D.G. Rees in Front Matter, and Back Matter
- An Introduction to Generalized Linear Models, Second Edition by Annette J. Dobson in Front Matter, and Back Matter
- Theory of Rank Tests, Second Edition (Probability and Mathematical Statistics) by Zbynek Sidak in Back Matter
See all 56 books this book cites
- Applied Nonparametric Statistical Methods, Third Edition (Chapman & Hall/CRC Texts in Statistical Science) by Peter Sprent in Front Matter, and Back Matter
- Design and Analysis in Chemical Research (Sheffield Analytical Chemistry) by Roy Tranter on page 111, and page 187
- Randomization, Bootstrap and Monte Carlo Methods in Biology, Second Edition by Bryan F.J. Manly in Front Matter
- Biomedical Applications of Computer Modeling (Handbooks in Pharmacology and Toxicology) by Arthur Christopoulos on page 192
- Sampling Methodologies with Applications (Chapman & Hall/CRC Texts in Statistical Science) by Poduri S.R.S. Rao in Front Matter
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