Raamatud Springer Series in Statistics
Regression Modeling Strategies: With Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis
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Regression Modeling Strategies: With Applications to Linear Models, Logistic Regression, and Survival Analysis
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Regression Modeling Strategies: With Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis
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Introduction to Time Series and Forecasting
Richard A. Davis, Peter J. Brockwell
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Elements of Nonlinear Time Series Analysis and Forecasting
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Time Series: Theory and Methods
Richard A. Davis, Peter J. Brockwell
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Statistical Models Based on Counting Processes
Richard D. Gill, Ornulf Borgan, Per K. Andersen, Niels Keiding
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Tools for Statistical Inference: Methods for the Exploration of Posterior Distributions and Likelihood Functions
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Advanced Statistics: Description of Populations
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Goodness-of-Fit Statistics for Discrete Multivariate Data
Noel A. C. Cressie, Timothy R. C. Read
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Fitting Linear Relationships: A History of the Calculus of Observations 1750-1900
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Interpolation of Spatial Data: Some Theory for Kriging
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Quasi-Likelihood And Its Application: A General Approach to Optimal Parameter Estimation
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Exponential Families of Stochastic Processes
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Nonparametric Curve Estimation: Methods, Theory, and Applications
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Statistical Methods in Software Engineering: Reliability and Risk
Nozer D. Singpurwalla, Simon P. Wilson
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Orthogonal Arrays: Theory and Applications
A. S. Hedayat, John Stufken, N. J. A. Sloane
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Subsampling
Dimitris N. Politis, Michael Wolf, Joseph P. Romano
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Conditional Specification of Statistical Models
Jose M. Sarabia, Enrique Castillo, Barry C. Arnold
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Gaussian and Non-Gaussian Linear Time Series and Random Fields
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Monte Carlo Methods in Bayesian Computation
Joseph G. Ibrahim, Ming-Hui Chen, Qi-Man Shao
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