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Variational methods in statistics /
Variational methods in statistics.
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
New York :
Academic Press,
1976.
|
| Colección: | Mathematics in science and engineering ;
v. 121. |
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Rustagi, Jagdish S. | |
| 245 | 1 | 0 | |a Variational methods in statistics / |c Jagdish S. Rustagi. |
| 260 | |a New York : |b Academic Press, |c 1976. | ||
| 300 | |a 1 online resource (xiii, 236 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Mathematics in science and engineering ; |v v. 121 | |
| 504 | |a Includes bibliographical references and index. | ||
| 588 | 0 | |a Print version record. | |
| 520 | |a Variational methods in statistics. | ||
| 505 | 0 | |a Front Cover; Variational Methods In Statistics; Copyright Page; Table of Contents; Preface; Acknowledgements; Chapter I. Synopsis; 1.1 General Introduction; 1.2 Classical Variational Methods; 1.3 Modern Variational Methods; 1.4 Linear Moment Problems; 1.5 Nonlinear Moment Problems; 1.6 Optimal Designs for Regression Experiments; 1.7 Theory of Optimal Control; 1.8 Miscellaneous Applications of Variational Methods in Statistics; References; Chapter II. Classical Variational Methods; 2.1 Introduction; 2.2 Variational Problem; 2.3 Illustrations in Statistics; 2.4 Euler-Lagrange Equations | |
| 505 | 8 | |a 2.5 Statistical Application2.6 Extremals with Variable End Points; 2.7 Extremals with Constraints; 2.8 Inequality Derived from Variational Methods; 2.9 Sufficiency Conditions for an Extremum; References; Chapter III. Modem Variational Methods; 3.1 Introduction; 3.2 Examples; 3.3 Functional Equations of Dynamic Programming; 3.4 Backward Induction; 3.5 Maximum Principle; 3.6 Dynamic Programming and Maximum Principle; References; Chapter IV. Linear Moment Problems; 4.1 Introduction; 4.2 Examples; 4.3 Convexity and Function Spaces; 4.4 Geometry of Moment Spaces | |
| 505 | 8 | |a 4.5 Minimizing and Maximizing an Expectation4.6 Application of the Hahn-Banach Theorem t o Maximizing an Expectation Subject t o Constraints; References; Chapter V. Nonlinear Moment Problems; 5.1 Introduction; 5.2 Tests of Hypotheses and Neyman-Pearson Lemma; 5.3 A Nonlinear Minimization Problem; 5.4 Statistical Applications; 5.5 Maximum in the Nonlinear Case; 5.6 Efficiency of Tests; 5.7 Type A and Type D Regions; 5.8 Miscellaneous Applications of the Neyman-Pearson Technique; References; Chapter VI. Optimal Designs for Regression Experiments; 6.1 Introduction; 6.2 Regression Analysis | |
| 505 | 8 | |a 6.3 Optimality Criteria6.4 Continuous Normalized Designs; 6.5 Locally Optimal Designs; 6.6 Spline Functions; 6.7 Optimal Designs Using Splines; Appendix to Chapter VI; References; Chapter VII. Theory of Optimal Control; 7.1 Introduction; 7.2 Deterministic Control Process; 7.3 Controlled Markov Chains; 7.4 Statistical Decision Theory; 7.5 Sequential Decision Theory; 7.6 Wiener Process; 7.7 Stopping Problems; 7.8 Stochastic Control Problems; References; Chpater VIII. Miscellaneous Applications of Variational Methods in Statistics; 8.1 Introduction; 8.2 Applications in Reliability | |
| 505 | 8 | |a 8.3 Bioassay Application8.4 Approximations via Dynamic Programming; 8.5 Connections between Mathematical Programming and Statistics; 8.6 Stochastic Programming Problems; 8.7 Dynamic Programming Model of Patient Care; References; Index | |
| 590 | |a eBooks on EBSCOhost |b EBSCO eBook Subscription Academic Collection - Worldwide | ||
| 650 | 0 | |a Mathematical statistics. | |
| 650 | 0 | |a Calculus of variations. | |
| 650 | 6 | |a Statistique mathématique. | |
| 650 | 6 | |a Calcul des variations. | |
| 650 | 7 | |a MATHEMATICS |x Probability & Statistics |x Multivariate Analysis. |2 bisacsh | |
| 650 | 7 | |a Mathématiques. |2 eclas | |
| 650 | 7 | |a Statistique. |2 eclas | |
| 650 | 7 | |a Calcul. |2 eclas | |
| 650 | 7 | |a Calculus of variations. |2 fast |0 (OCoLC)fst00844140 | |
| 650 | 7 | |a Mathematical statistics. |2 fast |0 (OCoLC)fst01012127 | |
| 650 | 7 | |a Statistik |2 gnd | |
| 650 | 7 | |a Variationsrechnung |2 gnd | |
| 650 | 7 | |a Wahrscheinlichkeitsrechnung |2 gnd | |
| 650 | 7 | |a Mathematical statistics. |2 nli | |
| 650 | 7 | |a Calculus of variations. |2 nli | |
| 650 | 7 | |a Statistique mathématique. |2 ram | |
| 653 | 0 | |a Calculus of variations | |
| 653 | 0 | |a Mathematical statistics | |
| 776 | 0 | 8 | |i Print version: |a Rustagi, Jagdish S. |t Variational methods in statistics. |d New York : Academic Press, 1976 |z 9780126045604 |w (DLC) 75013092 |w (OCoLC)1735315 |
| 830 | 0 | |a Mathematics in science and engineering ; |v v. 121. | |
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