Cambridge Series in Statistical and Probabilistic Mathematics
Серия книг
от J. R. Norris
Последние:
2020
Книга 1
Bootstrap Methods and their Application
от A.C. Davison, D. V. Hinkley
Книга 2
Markov Chains
от J.R. Norris
Книга 3
Asymptotic Statistics
от A. W. van der Vaart
Книга 4
Wavelet Methods for Time Series Analysis
от Donald B. Percival, Andrew T. Walden
Книга 5
Bayesian Methods: An Analysis for Statisticians and Interdisciplinary Researchers
от Thomas Leonard, John S. J. Hsu
Книга 6
Empirical Processes in M-Estimation
от Sara A. van de Geer
Книга 7
Numerical Methods of Statistics
от John F. Monahan
Книга 8
A User's Guide to Measure Theoretic Probability
от David Pollard
Книга 9
The Estimation and Tracking of Frequency
от Barry G. Quinn, E.J. Hannan
Книга 10
Data Analysis and Graphics Using R: An Example-based Approach
от John Maindonald, W. John Braun
Книга 11
Statistical Models
от A. C. Davison
Книга 12
Semiparametric Regression
от David Ruppert, M.P. Wand, R.J. Carroll
Книга 14
Книга 15
Measure Theory and Filtering: Introduction and Applications
от Lakhdar Aggoun, Robert James Elliott
Книга 16
Essentials of Statistical Inference
от G.A. Young, R. L. Smith
Книга 17
Elements of Distribution Theory
от Thomas A. Severini
Книга 18
Книга 19
The Coordinate-Free Approach to Linear Models
от Michael J. Wichura
Книга 20
Random Graph Dynamics
от Rick Durrett
Книга 21
Networks: Optimisation and Evolution
от Peter Whittle
Книга 22
Saddlepoint Approximations with Applications
от Ronald W. Butler
Книга 23
Applied Asymptotics: Case Studies in Small-Sample Statistics
от A. R. Brazzale, A. C. Davison, N. Reid
Applied Asymptotics: Cases Studies in Small-Sample Statistics. Cambridge Series in Statistical and Probabilistic Mathematics.
от A.R. Brazzale, A.C. Davison, N. Reid
Книга 24
Random Networks for Communication: From Statistical Physics to Information Systems
от Massimo Franceschetti, Ronald Meester
Книга 25
Design of Comparative Experiments
от Ronald A. Bailey
Книга 26
Книга 27
Model Selection and Model Averaging
от Gerda Claeskens, Nils Lid Hjort
Model Selection and Model Averaging. Cambridge Series in Statistical and Probabilistic Mathematics.
от Gerda Claeskens, Nils Lid Hjort
Книга 28
Bayesian Nonparametrics
от Nils Lid Hjort, Peter Muller, Stephen G. Walker
Книга 29
From Finite Sample to Asymptotic Methods in Statistics
от Pranab K. Sen, Julio M. Singer, Antonio C. Pedroso de Lima
Книга 30
Brownian Motion
от Peter Mörters, Yuval Peres
Книга 31
Probability: Theory and Examples
от Rick Durrett
Книга 32
Книга 33
Stochastic Processes
от Richard F. Bass
Книга 34
Regression for Categorical Data
от Gerhard Tutz
Книга 35
Exercises in Probability: A Guided Tour from Measure Theory to Random Processes, via Conditioning
от Loïc Chaumont, Marc Yor
Книга 36
Statistical Principles for the Design of Experiments: Applications to Real Experiments
от R. Mead, S. G. Gilmour, A. Mead
Statistical Principles for the Design of Experiments
от R. Mead, S.G. Gilmour, A. Mead
Книга 37
Quantum Stochastics
от Mou-Hsiung Chang
Книга 38
Nonparametric Estimation under Shape Constraints: Estimators, Algorithms and Asymptotics
от Piet Groeneboom, Geurt Jongbloed
Книга 39
Large Sample Covariance Matrices and High-Dimensional Data Analysis
от Jianfeng Yao, Zhidong Bai, Shurong Zheng
Книга 40
Mathematical Foundations of Infinite-Dimensional Statistical Models
от Evarist Giné, Richard Nickl, Evarist Ginae
Книга 41
Confidence, Likelihood, Probability: Statistical Inference with Confidence Distributions
от Tore Schweder, Nils Lid Hjort
Книга 42
Probability on Trees and Networks
от Russell Lyons, Yuval Peres
Книга 43
Random Graphs and Complex Networks
от Remco van der Hofstad
Книга 44
Fundamentals of Nonparametric Bayesian Inference
от Subhashis Ghosal, Aad van der Vaart
Книга 45
Long-Range Dependence and Self-Similarity
от Vladas Pipiras, Murad S. Taqqu
Книга 46
Predictive Statistics: Analysis and Inference Beyond Models
от Bertrand S. Clarke
Книга 47
Книга 48
High-Dimensional Statistics: A Non-Asymptotic Viewpoint
от Martin J. Wainwright
Книга 50
Model-Based Clustering and Classification for Data Science: With Applications in R
от Charles Bouveyron, Gilles Celeux, T. Brendan Murphy
Книга 51
Spectral Analysis for Univariate Time Series
от Donald B. Percival, Andrew T. Walden