ISBN:0412306107

Author: | Peter Sprent |

ISBN13: | 978-0412306105 |

Title: | Applied Nonparametric Statistical Methods (Chapman & Hall Statistics Text Series) |

Format: | lrf mobi rtf txt |

ePUB size: | 1739 kb |

FB2 size: | 1361 kb |

DJVU size: | 1351 kb |

Language: | English |

Category: | Mathematics |

Publisher: | Chapman & Hall; 1989 ed. edition (February 1, 1989) |

Pages: | 220 |

Applied Nonparametric Statistical Methods is an exception. The book’s major strength is its prioritization of coverage. It is also a good textbook for undergraduate courses in statistics as well as courses for students majoring in other disciplines. Applied Nonparametric Statistical Methods provides a very clear exposition of modern nonparametric methods.

Recent studies show that semiparametric methods and models may be applied to solve dimensionality reduction problems arising from using fully nonparametric models and methods. Answering the call for an up-to-date overview of the latest developments in the field, Nonlinear Time Series: Semiparametric and Nonparametric Methods focuses on various semiparametric methods in model estimation, specification testing, and selection of time series data. Monographs on Statistics and Applied Probability 108. Nonlinear Time Series Semiparametric and Nonparametric Methods.

Applied nonparametric statistical methods. 3rd ed. I P Sprent, .

Nonlinear Time Series: Semiparametric and Nonparametric Methods (Chapman & Hall CRC Monographs on Statistics & Applied Probability). Statistics: Principles and Methods. Expansions and Asymptotics for Statistics C5904 FM Statistics in the 21st Century (Chapman & Hall CRC Monographs on Statistics & Applied Probability). Principles of Applied Statistics

This resource covers key methods in time series analysis and provides the necessary theoretical details. Скачать (pdf, . 9 Mb) Читать. Epub FB2 mobi txt RTF. Конвертация файла может нарушить форматирование оригинала. По-возможности скачивайте файл в оригинальном формате.

Alan J. B. Anderson, Chapman and Hall, London, 1989. No. of pages: xvi + 223. Price: E1. 5 Many elementary statistics texts leave students with the false impression that the job of the statis- tician is mainly to analyse data.

This resource covers key methods in time series analysis and provides the necessary theoretical details. 4 Mb) Читать.

Chapman & Hall/CRC Monographs on Statistics & Applied Probability. It will certainly become a standard reference for nonparametric and robust methods.

April 24, 2010 History found in the catalog. Applied Non-Parametric Statistical Methods (Chapman & Hall Statistics. 1 2 3 4 5. Want to Read. Are you sure you want to remove Applied Non-Parametric Statistical Methods (Chapman & Hall Statistics Text Series) from your list? Applied Non-Parametric Statistical Methods (Chapman & Hall Statistics. One need know only a little statistics to make sensible use of simple nonparametric methods. OTHER STATISTICS TEXTS FROM CHAPMAN AND HALL The Analysis of Time Series C. Chatfield Statistics for Technology C. Chatfield. Introduction to Multivariate Analysis C. Chatfield and A. 1. Collins. Applied Statistics D. R. Cox and E. Snell. An Introduction to Statistical Modelling . Sprent, Peter Applied nonparametric statistical methods. Nonparametric statistical mathematics. Applications I. Title 51.

This new edition of Peter Sprent's highly successful introduction to nonparametric methods retains many features acclaimed by reviewers of the first edition. Basics are simply and carefully explained using many realistic but simple examples. The text has been completely revised to highlight the way modern computer software enables us to carry out exact tests based on permutation distributions where one had previously to resort to asymptotic results in situations where these are now known to be misleading. New methods are introduced in this edition and relationships between inference procedures that may at first sight appear to be unrelated are clearly demonstrated. More attention is given to the analysis of censored data and the sections on analysis of counts and categorical data have been greatly extended. This additional material is relevant to applications in fields as diverse as medicine, the social sciences, industry and market research. This book should be of interest to research workers in industry, pharmaceutical firms, and all who use basic statistical methods. It should also be a useful text for undergraduate students taking university and polytechnic courses.

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