Springer Prior Processes and Their Applications: Nonparametric Bayesian Estimation (Springer Series in Statistics)

Statistical Distributions: Applications and Parameter Estimates

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Introduction to Nonparametric Estimation (Springer Series in Statistics)

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Introduction to Nonparametric Estimation (Springer Series in Statistics)

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From Nonparametric Regression to Statistical Inference for Non-Ergodic Diffusion Processes (Frontiers in Probability and the Statistical Sciences)

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Linear and Generalized Linear Mixed Models and Their Applications (Springer Series in Statistics)

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Hidden Markov Processes and Adaptive Filtering (Springer Series in Statistics)

Applications in Reliability and Statistical Computing (Springer Series in Reliability Engineering)

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Springer - Theory of Statistical Estimation Book

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Statistical Inference Under Mixture Models (ICSA Book Series in Statistics)

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Foundations of Applied Statistical Methods

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Ten Projects in Applied Statistics (Springer Series in Statistics)

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Statistical Modeling and Applications (Emerging Topics in Statistics and Biostatistics)

Statistical Modeling and Computation (Springer Texts in Statistics)

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Estimands in Clinical Trials: A Practical Guide (Springer Series in Pharmaceutical Statistics)

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Statistical Methods at the Forefront of Biomedical Advances

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Probabilistic Risk Analysis and Bayesian Decision Theory: With Applications in the Environmental Sciences

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Introductory Statistics for Data Analysis

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Practical Biostatistics for Medical and Health Sciences

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Practical Biostatistics for Medical and Health Sciences

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Probabilistic Topic Models: Foundation and Application

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Principles of Econometrics: Theory and Applications (Classroom Companion: Economics)

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High-quality and Timely Statistics: New Methods and Applications (Studies in Theoretical and Applied Statistics)

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Basic Principles of Applied Medical Statistics: A Practical Guide

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Springer - Hidden Markov Models and Applications Book

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