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ocn842939834 |
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OCoLC |
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20240623213015.0 |
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m o d |
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cr cnu---unuuu |
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130514s1988 maua ob 001 0 eng d |
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|z 87016792
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|b eng
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| 019 |
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|a 819749087
|a 843637988
|a 850149289
|a 1285566844
|a 1301982785
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| 020 |
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|a 9780080917252
|q (electronic bk.)
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|a 0080917259
|q (electronic bk.)
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|z 0121634752
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|z 9780121634759
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| 035 |
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|a (OCoLC)842939834
|z (OCoLC)819749087
|z (OCoLC)843637988
|z (OCoLC)850149289
|z (OCoLC)1285566844
|z (OCoLC)1301982785
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| 050 |
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4 |
|a QA273.6
|b .C36 1988eb
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| 072 |
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7 |
|a MAT
|x 029000
|2 bisacsh
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| 049 |
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|a HCDD
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| 100 |
1 |
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|a Castillo, Enrique,
|d 1946-
|1 https://id.oclc.org/worldcat/entity/E39PBJbtmcjvdFmJ4phXJHjKVC
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| 245 |
1 |
0 |
|a Extreme value theory in engineering /
|c Enrique Castillo.
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| 260 |
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|a Boston :
|b Academic Press,
|c ©1988.
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| 300 |
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|a 1 online resource (xv, 389 pages) :
|b illustrations
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 490 |
1 |
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|a Statistical modeling and decision science.
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| 504 |
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|a Includes bibliographical references (pages 341-382) and index.
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| 588 |
0 |
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|a Print version record.
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| 520 |
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|a This book is a comprehensive guide to extreme value theory in engineering. Written for the end user with intermediate and advanced statistical knowledge, it covers classical methods as well as recent advances. A collection of 150 examples illustrates the theoretical results and takes the reader from simple applications through complex cases of dependence.
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| 505 |
0 |
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|a Front Cover; Extreme Value Theory in Engineering; Copyright Page; Table of Contents; Preface; Part I: Introduction; Chapter 1. Introduction and Motivation; 1.1. Introduction; 1.2. Some Engineering Examples Where Extreme Value Theory Is of Significance; 1.3. New Developments in Extreme Value Theory; 1.4. Aim of the Book; 1.5. Organization of the Book; 1.6. Some Classical Statistical Concepts; Part II: Order Statistics; Chapter 2. Order Statistics; 2.1. Introduction; 2.2. Concept of Order Statistic; 2.3. Order Statistics from Independent and Identically Distributed Samples.
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| 505 |
8 |
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|a 2.4. Order Statistics from Dependent SamplesPart III: Asymptotic Distribution of Sequences of Independent Random Variables; Chapter 3. Asymptotic Distributions of Maxima and Minima (I.I.D. Case); 3.1. Introduction and Motivation; 3.2. Statement of the Problem; 3.3. Limit Distributions and Domains of Attraction; 3.4. Von-Mises Forms; 3.5. Normalizing Constants; 3.6. Domain of Attraction of a Given Distribution; 3.7. Asymptotic Joint Distribution of Maxima and Minima; 3.8. Asymptotic Distributions of Range and Midrange; 3.9. Asymptotic Distributions of Maxima of Samples with Random Size.
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| 505 |
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|a 3.10. Approximation of Distribution Functions in Their Tails3.11. The Penultimate Form of Approximation to Extremes; Chapter 4. Shortcut Procedures: Probability Papers and Least-Squares Methods; 4.1. Introduction; 4.2. The Theoretical Bases of Probability Paper; 4.3. The Problem of Plotting Positions; 4.4. Acceptance Regions; 4.5. Some Recommendations for the Use of Probability Papers in Extreme Value Problems; 4.6. Weighted Least-Squares Methods; Chapter 5. The Gumbel, Weibull and Frechet Distributions; 5.1. Introduction; 5.2. The Gumbel Distribution; 5.3. The Weibull Distribution.
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| 505 |
8 |
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|a 5.4. The Frechet DistributionChapter 6. Selection of Limit Distributions from Data; 6.1. Statement of the Problem; 6.2. Methods for Determining the Domain of Attraction of a Parent Distribution from Samples; Chapter 7. Limit Distributions of k-th order Statistics; 7.1. Introduction; 7.2. Statement of the Problem and Previous Definitions; 7.3. Limit Distributions of Upper and Lower Order Statistics; 7.4. Limit Distributions of Other Order Statistics; 7.5. Asymptotic Distributions of k-th Order Statistics of Samples with Random Sizes.
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| 505 |
8 |
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|a Part IV: Asymptotic Distribution of Sequences of Dependent Random VariablesChapter 8. Limit Distributions in the Case of Dependence; 8.1. Introduction; 8.2. Exchangeable Variables; 8.3. Dependence Conditions; 8.4. Limit Distributions of Maxima and Minima; 8.5. Asymptotic Distributions of k-th Extremes; Part V: Multivariate Case; Chapter 9. Multivariate and Regression Models Related to Extremes; 9.1. Introduction; 9.2. Regression Models; 9.3. Bivariate Models with Weibull Conditionals; Chapter 10. Multivariate Extremes; 10.1. Introduction; 10.2. Dependence Functions; 10.3. Limit Distributions.
|
| 650 |
|
0 |
|a Extreme value theory.
|
| 650 |
|
0 |
|a Mathematical statistics.
|
| 650 |
|
7 |
|a MATHEMATICS
|x Probability & Statistics
|x General.
|2 bisacsh
|
| 650 |
|
7 |
|a Extreme value theory
|2 fast
|
| 650 |
|
7 |
|a Mathematical statistics
|2 fast
|
| 650 |
|
7 |
|a Extremwertstatistik
|2 gnd
|
| 650 |
|
7 |
|a Statistique mathématique.
|2 ram
|
| 650 |
|
7 |
|a Valeurs extrêmes, théorie des.
|2 ram
|
| 776 |
0 |
8 |
|i Print version:
|a Castillo, Enrique, 1946-
|t Extreme value theory in engineering.
|d Boston : Academic Press, ©1988
|z 0121634752
|w (DLC) 87016792
|w (OCoLC)17232708
|
| 830 |
|
0 |
|a Statistical modeling and decision science.
|
| 856 |
4 |
0 |
|u https://ebookcentral.proquest.com/lib/holycrosscollege-ebooks/detail.action?docID=1179807
|y Click for online access
|
| 903 |
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|a EBC-AC
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| 994 |
|
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|a 92
|b HCD
|