2 edition of **Statistical theory** found in the catalog.

Statistical theory

Lancelot Thomas Hogben

- 175 Want to read
- 38 Currently reading

Published
**1950**
by Norton in New York
.

Written in English

- Mathematical statistics,
- Probabilities

Classifications | |
---|---|

LC Classifications | QA276 .H58 1950z |

The Physical Object | |

Pagination | 510 p. |

Number of Pages | 510 |

ID Numbers | |

Open Library | OL6242633M |

LC Control Number | 58001960 |

Statistical analysis of reliability and life-testing models: Theory and methods (Statistics: textbooks and monographs ; v. 24) by Lee J Bain and a great selection of related books, art and collectibles available now at "An Introduction to Statistical Learning (ISL)" by James, Witten, Hastie and Tibshirani is the "how to'' manual for statistical learning. Inspired by "The Elements of Statistical Learning'' (Hastie, Tibshirani and Friedman), this book provides clear and intuitive guidance on how to implement cutting edge statistical and machine learning methods.

© Joseph J. Nahas 10 Dec Statistics Part II − Basic Theory Joe Nahas University of Notre Dame. COVID Resources. Reliable information about the coronavirus (COVID) is available from the World Health Organization (current situation, international travel).Numerous and frequently-updated resource results are available from this ’s WebJunction has pulled together information and resources to assist library staff as they consider how to handle coronavirus.

The book improves readers’ comprehension of the principles of statistical theory and helps them see how the principles can be used in practice. By mastering the theoretical statistical strategies necessary to solve the exercises, readers will be prepared to successfully study even higher-level statistical theory. Product filter button Description Contents Resources Courses About the Authors This book is a mathematically accessible and up-to-date introduction to the tools needed to address modern inference problems in engineering and data science, ideal for graduate students taking courses on statistical inference and detection and estimation, and an invaluable reference for researchers and Pages:

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