1 edition of **Probability models and statistical analyses for ranking data** found in the catalog.

Probability models and statistical analyses for ranking data

- 340 Want to read
- 13 Currently reading

Published
**1992**
by Springer-Verlag in New York
.

Written in English

- Ranking and selection (Statistics) -- Congresses.

**Edition Notes**

Includes bibliographical references.

Statement | Michael A. Fligner, Joseph S. Verducci (eds.). |

Series | Lecture notes in statistics ;, 80, Lecture notes in statistics (Springer-Verlag) ;, v. 80. |

Contributions | Fligner, Michael A., Verducci, Joseph S. |

Classifications | |
---|---|

LC Classifications | QA278.75 .P76 1993 |

The Physical Object | |

Pagination | xxiii, 306 p. : |

Number of Pages | 306 |

ID Numbers | |

Open Library | OL1726243M |

LC Control Number | 92030305 |

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Forward to the Book: Probability Models and Statistical Analyses For Ranking Data, Fligner, M., Verducci,J. ed., xvii-xxiii, Springer Lecture Notes in Statistics, 80 Springer, New York Comparison Techniques for Random Walk on Finite Groups. Books shelved as statistics-and-probability: Time Series Analysis: Forecasting and Control by George E.P. Box, Real-Life Math for Probability, Grade

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In June ofa conference was held on Probablity Models and Statisti cal Analyses for Ranking Data, under the joint auspices of the American Mathematical Society, the Institute for Mathematical Statistics, and the Society of Industrial and Applied Mathematicians.

The conference took place at. In June ofa conference was held on Probablity Models and Statisti cal Analyses for Ranking Data, under the joint auspices of the American Mathematical Society, the Institute for Mathematical Statistics, and the Society of Industrial and Applied Mathematicians. This book of edited contributions provides a wide-ranging survey of the use of probability models for ranking data and it introduces new methods for the statistical analysis of ranking data.

The contributors are drawn from a variety of fields including psychology, Cited by: Probability models and statistical analyses for ranking data. New York: Springer-Verlag, © (OCoLC) Material Type: Conference publication, Internet resource: Document Type: Book, Internet Resource: All Authors / Contributors: Michael A Fligner; Joseph S Verducci.

Get this from a library. Probability Models and Statistical Analyses for Ranking Data. [Michael A Fligner; Joseph S Verducci] -- This book of edited contributions provides a wide-ranging survey of the use of probability models for ranking data and it introduces new methods for. In this paper several latent structure models for analyzing data that consist of complete or incomplete rankings are discussed.

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(1) Standard models (binomial, Poisson, normal) are described. Application of these models to confidence interval estimation and parametric hypothesis testing are.

This is the first of two books on the statistical theory of reliability and life testing. The present book concentrates on probabilistic aspects of reliability theory, while the forthcoming book will focus on inferential aspects of reliability and life testing, applying the probabilistic tools developed in this volume.

This book emphasizes the newer, research aspects of reliability theory. Models for Rank Data Introduction This chapter reviews a number of approaches to the statistical modeling of ranking data, dealing exclusively with complete rankings.

Chapter 2 reviews some methods for categorizing various models. Chapter 3 reviews likelihood and other methods for. Michael A. Fligner. Probability Models and Statistical Analyses for Ranking Data. Book. Jan ; Probability models and statistical analyses for ranking data. Papers presented at the AMS.

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It's incredibly practical but with no loss of rigour; in fact, it underscores the danger of ignoring underlying assumptions (which are often false in real life) of common. As aresult, the book concentrates on the methodology of the subject and on understanding theoretical results rather than on its theoretical development.

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Verducci, editors. Matched pairs and ranked data. () (with J. Ye) In Probability Models and Statistical Analyses for Ranking Data.Most data fall into one of two groups: numerical or categorical.

Numerical data. These data have meaning as a measurement, such as a person’s height, weight, IQ, or blood pressure; or they’re a count, such as the number of stock shares a person owns, how many teeth a dog has, or how many pages you can read of your favorite book before you fall asleep.24 Uses of Statistical Modeling (Part I) Posted by Vincent Granville on Decem Methods for time series analyses may be divided into two classes: frequency-domain methods and time-domain methods.

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