Springer Texts in Statistics – serie

Introduction to Statistical Learning

with Applications in Python

Probability: A Graduate Course

Analyzing Categorical Data

Modern Approach to Regression with R

Statistics and Finance

An Introduction

Monte Carlo Statistical Methods

All of Nonparametric Statistics

Measure Theory and Probability Theory

Introduction to Bayesian Analysis

Theory and Methods

Modeling Longitudinal Data

All of Statistics

A Concise Course in Statistical Inference

Probability Theory

Independence, Interchangeability, Martingales

Bayesian Choice

From Decision-Theoretic Foundations to Computational Implementation

Time Series Analysis

With Applications in R

Statistical Design

Asymptotic Theory of Statistics and Probability

Statistical Models and Methods for Financial Markets

Modern Multivariate Statistical Techniques

Regression, Classification, and Manifold Learning

Statistical Methods for Quality Assurance

Basics, Measurement, Control, Capability, and Improvement

First Course in Bayesian Statistical Methods

Theoretical Statistics

Topics for a Core Course

Probability

Basic Principles of Structural Equation Modeling

An Introduction to LISREL and EQS

Probability

Introduction to Graphical Modelling

Applying and Interpreting Statistics

A Comprehensive Guide

Bayesian Choice

From Decision-Theoretic Foundations to Computational Implementation

Advanced Linear Modeling

Multivariate, Time Series, and Spatial Data; Nonparametric Regression and Response Surface Maximization

Applied Multivariate Analysis