Series: Cambridge Series in Statistical and Probabilistic Mathematics

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Works (30)

Bootstrap Methods and Their Application by A. C. Davison1
Exercises in Probability: A Guided Tour from Measure Theory to Random Processes, via Conditioning by David Schneiderman
Stochastic Processes (Cambridge Series in Statistical and Probabilistic Mathematics) by Richard F. Bass
Markov Chains by J. R. Norris2
Asymptotic Statistics by A. W. van der Vaart3
Wavelet Methods for Time Series Analysis by Donald B. Percival4
Bayesian Methods by Thomas Leonard5
Empirical Processes in M-Estimation by Sara A. van de Geer6
Numerical Methods of Statistics (Cambridge Series in Statistical and Probabilistic Mathematics) by John F. Monahan7
A User's Guide to Measure Theoretic Probability by David Pollard8
The Estimation and Tracking of Frequency by B.G. Quinn9
Data Analysis and Graphics Using R by John Maindonald10
Statistical Models by A. C. Davison11
Semiparametric Regression by David Ruppert12
Exercises in Probability by Loic Chaumont13
Statistical Analysis of Stochastic Processes in Time by J. K. Lindsey14
Measure Theory and Filtering: Introduction and Applications by Lakhdar Aggoun15
Essentials of Statistical Inference by G. A. Young16
Elements of Distribution Theory by Thomas A. Severini17
The Coordinate-Free Approach to Linear Models by Michael J. Wichura19
Random Graph Dynamics by Rick Durrett20
Networks: Optimisation and Evolution by Peter Whittle21
Saddlepoint Approximations with Applications by Ronald W. Butler22
Applied Asymptotics: Case Studies in Small-Sample Statistics by A. R. Brazzale23
Random Networks for Communication by Massimo Franceschetti24
Design of Comparative Experiments by R. A. Bailey25
Symmetry Studies by Marlos A. G. Viana26
Model Selection and Model Averaging by Gerda Claeskens27
Bayesian Nonparametrics by Nils Lid Hjort28
Brownian Motion by Peter Mörters30

Related tags


  1. Testing Statistical Hypotheses by E.L. Lehmann (1959)
  2. Probability and Measure by Patrick Billingsley (1979)
  3. Modern Applied Statistics with S by William N. Venables (2002)
  4. Probability and Random Processes by Geoffrey R. Grimmett (1982)
  5. An Introduction to Generalized Linear Models by Annette J. Dobson (1990)
  6. Categorical Data Analysis by Alan Agresti (1990)
  7. In All Likelihood: Statistical Modelling and Inference Using Likelihood by Yudi Pawitan (2001)
  8. Functional Data Analysis by Jo Ramsay (1997)
  9. Principles of Statistical Inference by D. R. Cox (2006)
  10. Statistical Inference by George Casella (1990)
  11. An Introduction to the Bootstrap by Bradley Efron (1993)
  12. Mathematical Methods of Statistics by Harald Cramer (1946)
  13. Time Series Analysis by James Douglas Hamilton (1994)
  14. Synergies in Minority Protection: European and International Law Perspectives by Kristin Henrard (2008)
  15. Markov Chain Monte Carlo in Practice by W.R. Gilks (1996)

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cpg (30), Edward (3), AnnaClaire (1)
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