1 edition of **Advances in Statistical Decision Theory and Applications** found in the catalog.

- 185 Want to read
- 33 Currently reading

Published
**1997**
by Birkhäuser Boston in Boston, MA
.

Written in English

- Mathematics

**Edition Notes**

Statement | edited by S. Panchapakesan, N. Balakrishnan |

Series | Statistics for Industry and Technology, Statistics for industry and technology |

Contributions | Balakrishnan, N. |

Classifications | |
---|---|

LC Classifications | QA1-939 |

The Physical Object | |

Format | [electronic resource] / |

Pagination | 1 online resource (498 pages). |

Number of Pages | 498 |

ID Numbers | |

Open Library | OL27015301M |

ISBN 10 | 1461223083 |

ISBN 10 | 9781461223085 |

OCLC/WorldCa | 840278388 |

The Journal of Statistical Theory and Applications is an international peer reviewed journal dedicated to the publication of original research papers in the area of statistical sciences and related full Aims & Scope. This is an open access journal, i.e. all articles are immediately and permanently free to read, download, copy & distribute. Decision theory provides a formal framework for making logical choices in the face of uncertainty. Given a set of alternatives, a set of consequences, and a correspondence between those sets, decision theory offers conceptually simple procedures for choice. This book presents an overview of the fundamental concepts and outcomes of rational decision making under uncertainty, highlighting the.

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Aspects of Multivariate Statistical Theory presents a classical mathematical treatment of the techniques, distributions, and inferences based on multivariate normal distribution. Advances in multivariate analysis are discussed, including decision theory and robustness. The book also includes tables of percentage points of many of the. Statistical learning theory has subsequently expanded into a more general theory of learning from statistical data. Statistical learning theory is of philosophical interest in a number of ways, but especially because one of its central concepts, Vapnik-Chernovenkis (VC) dimension, bears more than a passing resemblance to Karl Popper's notion of.

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Advances in Statistical Decision Theory and Applications (Statistics for Industry and Technology) Softcover reprint of the original 1st ed. Edition by S. Panchapakesan N. Balakrishnan (Author) out of 5 stars 1 rating. ISBN ISBN Why is ISBN important. ISBN. This bar-code number lets you verify that Cited by: 1.

Advances in Statistical Decision Theory and Applications. Editors: Panchapakesan, S., Balakrishnan, N (Eds.) Free PreviewBrand: Birkhäuser Basel. Advances in statistical decision theory and applications.

Boston: Birkhäuser, (OCoLC) Named Person: Shanti Swarup Gupta; Shanti Swarup Gupta: Document Type: Book: All Authors / Contributors: S Panchapakesan; N Balakrishnan; Shanti Swarup Gupta.

Advances in Statistical Decision Theory and Applications. Editors (view affiliations) S. Panchapakesan; N. Balakrishnan Decision Theory. Front Matter. Pages Best Linear Unbiased Estimation and Best Linear Unbiased Prediction Based on Progressively Censored Samples and Some Applications.

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