Mathematical statistics : basic ideas an
β Peter J. Bickel; Kjell A. Doksum
π Library
π
2016
π English
β¦ LIBER β¦
π
Mathematical Statistics Basic Ideas and Selected Topics Volume II
β Scribed by Peter Bickel, Kjell Doksum
- Publisher
- CRC
- Year
- 2018
- Tongue
- English
- Leaves
- 479
- Category
- Library
β¬ Acquire This Volume
No coin nor oath required. For personal study only.
β¦ Table of Contents
Front Cover......Page 1
Dedication......Page 9
CONTENTS......Page 11
PREFACE TO THE 2015 EDITION......Page 17
Chapter I - INTRODUCTION AND EXAMPLES......Page 23
Chapter 7 - TOOLS FOR ASYMPTOTIC ANALYSIS......Page 43
Chapter 8 - DISTRIBUTION-FREE, UNBIASED, AND EQUIVARIANT PROCEDURES......Page 95
Chapter 9 - INFERENCE IN SEMIPARAMETRIC MODELS......Page 147
Chapter 10 - MONTE CARLO METHODS......Page 233
Chapter 11 - NONPARAMETRIC INFERENCE FOR FUNCTIONS OF ONE VARIABLE......Page 287
Chapter 12 - PREDICTION AND MACHINE LEARNING......Page 329
Appendix D - SOME AUXILIARY RESULTS......Page 421
Appendix E - SOLUTIONS FOR VOLUME II......Page 445
REFERENCES......Page 459
Insert 1......Page 477
Back Cover......Page 479
π SIMILAR VOLUMES
Mathematical statistics: basic ideas and
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<strong>Mathematical Statistics: Basic Ideas and Selected Topics, Volume II</strong> presents important statistical concepts, methods, and tools not covered in the authorsβ previous volume. This second volume focuses on inference in non- and semiparametric models. It not only reexamines the procedur
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This classic, time-honored introduction to the theory and practice of statistics modeling and inference reflects the changing focus of contemporary Statistics. Coverage begins with the more general nonparametric point of view and then looks at parametric models as submodels of the nonparametric ones