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Серия книг
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Book Series – Chapman & Hall/CRC Monographs on Statistics and Applied Probability - Page №2
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Models for Dependent Time Series
Granville Tunnicliffe Wilson
Granville Tunnicliffe Wilson
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Design and Analysis of Cross-Over Trials
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Local Polynomial Modelling and Its Applications: Monographs on Statistics and Applied Probability 66
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Jianqing Fan
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0
The Statistical Analysis of Multivariate Failure Time Data: A Marginal Modeling Approach
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Hidden Markov Models for Time Series: An Introduction Using R, Second Edition
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Antedependence Models for Longitudinal Data
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Mixed Poisson Processes
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Antedependence Models for Longitudinal Data
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0
State-Space Methods for Time Series Analysis: Theory, Applications and Software
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Multivariate Dependencies: Models, Analysis and Interpretation
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D.R. Cox, Nanny Wermuth
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Analysis of Infectious Disease Data
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N.G. Becker
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Analysis of Repeated Measures
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Martin J. Crowder
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0
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Inference and Asymptotics
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Transformation and Weighting in Regression
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Differential Geometry and Statistics
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M.K. Murray
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Large Covariance and Autocovariance Matrices
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Models for Dependent Time Series
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Granville Tunnicliffe Wilson
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Expansions and Asymptotics for Statistics
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Christopher G. Small
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Replication and Evidence Factors in Observational Studies
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Time Series Models: In econometrics, finance and other fields
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Time Series Models: In econometrics, finance and other fields
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Pareto Distributions
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Mean Field Simulation for Monte Carlo Integration
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Bayesian Inference for Partially Identified Models: Exploring the Limits of Limited Data
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Paul Gustafson
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Dependence Modeling with Copulas
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Harry Joe
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Measuring Statistical Evidence Using Relative Belief
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Michael Evans
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Asymptotic Analysis of Mixed Effects Models: Theory, Applications, and Open Problems
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Jiming Jiang
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Sufficient Dimension Reduction: Methods and Applications with R
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Bing Li
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Dependence Modeling with Copulas
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Harry Joe
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Statistical Inference and Simulation for Spatial Point Processes
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Gaussian Markov Random Fields: Theory and Applications
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Havard Rue, Leonhard Held
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Asymptotic Analysis of Mixed Effects Models: Theory, Applications, and Open Problems
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The Statistical Analysis of Multivariate Failure Time Data: A Marginal Modeling Approach
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Quasi-Least Squares Regression
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Statistical Inference Based on the likelihood
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Adelchi Azzalini
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Analysis of Incomplete Multivariate Data
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J.L. Schafer
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Subset Selection in Regression
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Alan Miller
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Bayesian Inference for Partially Identified Models: Exploring the Limits of Limited Data
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Paul Gustafson
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Constrained Principal Component Analysis and Related Techniques
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Multivariate Kernel Smoothing and Its Applications
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20419543
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Cyclic and Computer Generated Designs
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Statistical Evidence: A Likelihood Paradigm
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Richard Royall
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20420994
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Semimartingales and their Statistical Inference
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Generalized Linear Models with Random Effects: Unified Analysis via H-likelihood, Second Edition
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Statistical Learning with Sparsity: The Lasso and Generalizations
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Мартин Уэйнрайт / Мартин Уэйнрайт / , Роберт Тибширани / Роберт Тібширані / , Тревор Хасти / Тревор Хасті /
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Measuring Statistical Evidence Using Relative Belief
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Inferential Models: Reasoning with Uncertainty
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Chuanhai Liu, Ryan Martin
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Joint Modeling of Longitudinal and Time-to-Event Data
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The Energy of Data and Distance Correlation
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Sufficient Dimension Reduction: Methods and Applications with R
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Multistate Models for the Analysis of Life History Data
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Mean Field Simulation for Monte Carlo Integration
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Pierre Del Moral
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20405543
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0
Statistical Inference
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S.D. Silvey
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20406499
0
0
Inspection Errors for Attributes in Quality Control
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Norman L. Johnson, Samuel Kotz, Xi-Zhi Wu
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