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Published **March 6, 2007**
by Chapman & Hall/CRC .

Written in English

- Applied mathematics,
- Probability & statistics,
- Mathematics,
- Science/Mathematics,
- Probability & Statistics - General,
- Mathematics / Statistics,
- Nonparametric statistics

The Physical Object | |
---|---|

Format | Hardcover |

Number of Pages | 540 |

ID Numbers | |

Open Library | OL12313793M |

ISBN 10 | 158488701X |

ISBN 10 | 9781584887010 |

While preserving the clear, accessible style of previous editions, Applied Nonparametric Statistical Methods, Fourth Edition reflects the latest developments in computer-intensive methods that deal with intractable analytical problems and unwieldy data sets. Reorganized and with additional material, this edition begins with a brief summary of some relevant general statistical concepts and 4/5(8). Applied Nonparametric Statistical Methods, Fourth Edition Peter Sprent, Nigel C. Smeeton While preserving the clear, accessible style of previous editions, Applied Nonparametric Statistical Methods, Fourth Edition reflects the latest developments in computer-intensive methods that deal with intractable analytical problems and unwieldy data sets. While preserving the clear, accessible style of previous editions, Applied Nonparametric Statistical Methods, Fourth Edition reflects the latest developments in computer-intensive methods that deal with intractable analytical problems and unwieldy data sets.4/5(3). The fourth edition of Applied Nonparametric Statistical Methods represents a modest im- provement over the pre vious edition. The chapters have been reorganized, and a new chapter on.

This new edition follows the basic easy-to-digest pattern that was so well received by users of the earlier editions. The authors substantially update and expand Applied Nonparametric Statistical Methods to reflect changing attitudes towards applied statistics, new developments, and the impact of more widely available and better statistical book takes into account 5/5(1). Nonparametric Statistical Methods, Third Edition is an excellent reference for applied statisticians and practitioners who seek a review of nonparametric methods and their relevant applications. The book is also an ideal textbook for upper-undergraduate and first-year graduate courses in applied nonparametric statistics. Nonparametric Statistical Inference Fourth Edition, Revised and Expanded Jean Dickinson Gibbons The Search for Oil: Some Statistical Methods and Techniques, edited by D B. Owen Sample Size Choice: Charts for Expenments with Linear Models, Robert E Odeh and Basic Applied Statistics, B. L Raktoe andJ J Hubert 28 A Primer in. brief account of many of the modern topics in nonparametric inference. The book is aimed at master’s-level or Ph.D.-level statistics and computer science students. It is also suitable for researchers in statistics, machine learn-ing and data mining who want to get up to speed quickly on modern non-parametric methods.

This new edition follows the basic easy-to-digest pattern that was so well received by users of the earlier editions. The authors substantially update and expand Applied Nonparametric Statistical Methods to reflect changing attitudes towards applied statistics, new developments, and the impact of more widely available and better statistical software. This new edition follows the basic easy-to-digest pattern that was so well received by users of the earlier editions. The authors substantially update and expand Applied Nonparametric Statistical Methods to reflect changing attitudes towards applied statistics, new developments, and the impact of more widely available and better statistical softwar. Nonparametric Statistical Methods, Third Edition is an excellent reference for applied statisticians and practitioners who seek a review of nonparametric methods and their relevant applications. The book is also an ideal textbook for upper-undergraduate and first-year graduate courses in applied nonparametric statistics. While preserving the clear, accessible style of previous editions, Applied Nonparametric Statistical Methods, Fourth Edition reflects the latest developments in computer-intensive methods that deal with intractable analytical problems and unwieldy data sets. Reorganized and with additional material, this edition begins with a brief summary of some.

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