Cambridge Series in Statistical and Probabilistic Mathematics
Series de Libros
por J. R. Norris
Último:
2020
Libro 1
Libro 2
Libro 3
Libro 4
Libro 5
Bayesian Methods: An Analysis for Statisticians and Interdisciplinary Researchers
por Thomas Leonard, John S. J. Hsu
Libro 6
Libro 7
Libro 8
Libro 9
Libro 10
Data Analysis and Graphics Using R: An Example-Based Approach
por John Maindonald, W. John Braun
Libro 11
Libro 12
Libro 14
Libro 15
Measure Theory and Filtering: Introduction and Applications
por Lakhdar Aggoun, Robert James Elliott
Libro 16
Libro 17
Libro 18
Libro 19
Libro 20
Libro 21
Libro 22
Libro 23
Applied Asymptotics: Case Studies in Small-Sample Statistics
por A. R. Brazzale, A. C. Davison, N. Reid
Applied Asymptotics: Cases Studies in Small-Sample Statistics. Cambridge Series in Statistical and Probabilistic Mathematics.
por A.R. Brazzale, A.C. Davison, N. Reid
Libro 24
Random Networks for Communication: From Statistical Physics to Information Systems
por Massimo Franceschetti, Ronald Meester
Libro 25
Libro 26
Symmetry Studies: An Introduction to the Analysis of Structured Data in Applications
por Marlos A. G. Viana
Libro 27
Model Selection and Model Averaging. Cambridge Series in Statistical and Probabilistic Mathematics.
por Gerda Claeskens, Nils Lid Hjort
Libro 28
Libro 29
From Finite Sample to Asymptotic Methods in Statistics
por Pranab K. Sen, Julio M. Singer, Antonio C. Pedroso de Lima
Libro 30
Libro 31
Libro 32
Libro 33
Libro 34
Libro 35
Exercises in Probability: A Guided Tour from Measure Theory to Random Processes, via Conditioning
por Lo C Chaumont, Marc Yor
Libro 36
Statistical Principles for the Design of Experiments: Applications to Real Experiments
por R. Mead, S. G. Gilmour, A. Mead
Libro 37
Libro 38
Nonparametric Estimation under Shape Constraints: Estimators, Algorithms and Asymptotics
por Piet Groeneboom, Geurt Jongbloed
Libro 39
Large Sample Covariance Matrices and High-Dimensional Data Analysis
por Jianfeng Yao, Zhidong Bai, Shurong Zheng
Libro 40
Mathematical Foundations of Infinite-Dimensional Statistical Models
por Evarist Giné, Richard Nickl, Evarist Ginae
Libro 41
Confidence, Likelihood, Probability: Statistical Inference with Confidence Distributions
por Tore Schweder, Nils Lid Hjort
Libro 42
Libro 43
Libro 44
Fundamentals of Nonparametric Bayesian Inference
por Subhashis Ghosal, Aad van der Vaart
Libro 45
Libro 46
Libro 47
Libro 48
Libro 50
Model-Based Clustering and Classification for Data Science: With Applications in R
por Charles Bouveyron, Gilles Celeux, T. Brendan Murphy
Libro 51
