A Modern Course on Statistical Distributions in Scientific Work Volume 3 ¿ Characterizations and Applications Proceedings of the NATO Advanced Study Institute held at the University of Calgary, Calgary, Alberta, Canada July 29 ¿ August 10, 1974 - gebonden uitgave, pocketboek

EAN (ISBN-13): 9789027706089
ISBN (ISBN-10): 9027706085
Gebonden uitgave
pocket book
Verschijningsjaar: 1975
Uitgever: Ganapati P. Patil
458 Bladzijden
Gewicht: 0,847 kg
Taal: eng/Englisch

Boek bevindt zich in het datenbestand sinds 2007-02-09T12:19:13+01:00 (Amsterdam)
Detailpagina laatst gewijzigd op 2023-12-19T15:03:12+01:00 (Amsterdam)
ISBN/EAN: 9027706085

ISBN - alternatieve schrijfwijzen:
90-277-0608-5, 978-90-277-0608-9
alternatieve schrijfwijzen en verwante zoekwoorden:
Auteur van het boek: kotz, patil, david bell, ganapati
Titel van het boek: scientific models, statistical models, model volume, courses, modern course statistical distributions scientific work, institute canada, study, nato, august, advanced modern, calgary, university advanced, modern applications, ganapati, alberta

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Gegevens van de uitgever

Auteur: Ganapati P. Patil; S. Kotz; J.K. Ord
Titel: Nato Science Series C:; A Modern Course on Statistical Distributions in Scientific Work - Volume 3 — Characterizations and Applications Proceedings of the NATO Advanced Study Institute held at the University of Calgary, Calgary, Alberta, Canada July 29 – August 10, 1974
Uitgeverij: Springer; Springer Netherland
436 Bladzijden
Verschijningsjaar: 1975-05-31
Dordrecht; NL
Taal: Engels
213,99 € (DE)
219,99 € (AT)
236,00 CHF (CH)
Available
XVIII, 436 p.

BB; Hardcover, Softcover / Mathematik/Sonstiges; Angewandte Mathematik; Verstehen; Estimator; Likelihood; Random variable; STATISTICA; information theory; statistics; Applications of Mathematics; BC

1. Linnik Memorial Inaugural Lecture.- 1.1 Some Problems in the Characterization of the Multivariate Normal Distribution.- 2. Mathematical Tools for Characterization Problems.- 2.1 Properties of Non-Negative Definite Solutions of Certain Ordinary Differential Equations.- 2.2 General Solution of a Functional Equation Connected With a Characterization of Statistical Distributions.- 2.3 An Extension of the Phragmén-Lindelöf Theory Which is Relevant for Characterization Theory.- 3. Characterizations Using Order Statistics.- 3.1 Characterizations of Probability Distributions by Properties of Order Statistics I.- 3.2 Characterizations of Probability Distributions by Properties of Order Statistics II.- 3.3 Characterization of Distributions Based on the “Scores” Arising in the Theory of Rank Tests.- 3.4 Characterization of Distributions by the Form of Predictors of Order Statistics.- 3.5 Characterization of the Exponential Distribution Using Lower Moments of Order Statistics.- 3.6 A Characterization of the Exponential Distribution.- 3. 7 L1-Completeness of a Class of Beta Densities.- 3.8 Expected Value of the Spacings Between Order Statistics.- 4. Characterizations by other Statistical Properties.- 4.1 Characterizations of Distributions by Statistical Properties on Groups.- 4.2 Transcendental Functions of a Vector Variable and a Characterization of a Multivariate Poisson Distribution.- 4.3 On the Conditions of Asymptotic ?-Admissibility of the Polynomial Pitman Estimators of a Location Parameter and Certain Properties of Information Measures of Closeness.- 4.4 Characterizations of the Gamma Distribution and Related Law.- 4.5 Characterization of Normal Law by Constancy of Regression.- 4.6 A Characterization of the Normal Distribution.- 5. Characterizations on Spaces andProcesses.- 5.1 On Characterization of Probability Distributions by Conditional Expectations.- 5.2 On a Characterization of Probability Distributions on Locally Compact Abelian Groups-II.- 5.3 Some Characterizations of the Exchangeable Processes and Distribution-Free Tests.- 5.4 Characterization by Functional Equations of Branching Process Limit Laws.- 6. Characterization Problems for Damaged Observations.- 6.1 Problems of Damaged Random Variables and Related Characterizations.- 6.2 On Some Characterizations of the Binomial and Poisson Distributions Based on a Damage Model.- 6.3 Some New Characterizations of Discrete Lagrangian Distributions.- 6.4 A Characterization of a Dependent Bivariate Poisson Distribution.- 7. Characterizations Using Entropy Measures and Related Problems.- 7.1 Maximum Entropy Characterizations of some Distributions.- 7.2 On Fisher’s Amount of Information for Location Family.- 7.3 Characterizations Based on Second-Order Entropy.- 7.4 Some Recent Applications of Functional Equations and Inequalities to Characterizations of Probability Distributions, Combinatorics, Information Theory and Mathematical Economics.- 8. Characterizations for Discrete Distributions and Families.- 8.1 Some Characterizations Involving Additivity and Infinite Divisibility and Their Applications to Poisson Mixtures and Poisson Sums.- 8.2 On Characterizing the Hypergeometric and Multivariate Hypergeometric Distributions.- 8.3 Characterizations of Certain Discrete Distributions.- 9. Characterizations for Continuous Distributions and Families.- 9.1 Characterizations of Directional Distributions.- 9.2 Maximum Likelihood Characterization of the von Mises Distribution.- 9.3 On Characterizing Univariate and Multivariate Exponential Distributions With Applications.- 9.4Characterizations of Linear Exponential Families.