Variational Methods in Statistics
β Scribed by Jagdish S. Rustagi (Eds.)
- Publisher
- Academic Press
- Year
- 1976
- Tongue
- English
- Leaves
- 253
- Series
- Mathematics in Science and Engineering 121
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Table of Contents
Content:
Edited by
Page iii
Copyright page
Page iv
Dedication
Page v
Preface
Pages xi-xii
Acknowledgements
Page xiii
Chapter 1 Synopsis
Pages 1-15
Chapter II Classical Variational Methods
Pages 16-45
Chapter III Modern Variational Methods
Pages 46-63
Chapter IV Linear Moment Problems
Pages 64-91
Chapter V Nonlinear Moment Problems
Pages 92-132
Chapter VI Optimal Designs for Regression Experiments
Pages 133-171
Chapter VII Theory of Optimal Control
Pages 172-201
Chapter VIII Miscellaneous Applications of Variational Methods in Statistics
Pages 202-231
Index
Pages 233-236
π SIMILAR VOLUMES
<span>Libro usado en buenas condiciones, por su antiguedad podria contener seΓ±ales normales de uso</span>
Focussing on applications, this book covers a very broad range, including simple and complex univariate and multivariate density estimation, nonparametric regression estimation, categorical data smoothing, and applications of smoothing to other areas of statistics. It will thus be of particular inte
<p><P>This book is devoted to the study of variational methods in imaging. The presentation is mathematically rigorous and covers a detailed treatment of the approach from an inverse problems point of view. </P><P>Key Features:</P><P>- Introduces variational methods with motivation from the determin
The last few decades have seen a spectacular growth in the use of variational methods, one of the most classic and elegant methods in physical and mathematical sciences, as powerful tools of optimization and numerical analysis. The tremendous accumulation of information on the use of variational met