Probability & Statistics

Philosophy of Statistics

Encyclopedia of Biopharmaceutical Statistics - Four Volume Set

Practical Sampling Techniques

Computational Statistics in Data Science

Markov Processes

Spatial Statistics

The Statistical Analysis of Failure Time Data

Structural Equations with Latent Variables

Introduction to the Numerical Solution of Markov Chains

Elements of Statistical Computing

Statistical Models and Methods for Lifetime Data

Probability, Markov Chains, Queues, and Simulation

Bayesian Reasoning In Data Analysis: A Critical Introduction

Integrative Statistics for the Social and Behavioral Sciences

Pharmaceutical Statistics

Stochastic Processes for Insurance and Finance

Multivariate Observations

Accelerated Testing

Survey Errors and Survey Costs

Spatial Data Analysis in Ecology and Agriculture Using R

Handbook of Matching and Weighting Adjustments for Causal Inference

Experimental Design in Biotechnology

Data Driven Statistical Methods

Essential Chinese Medicine

Small Worlds

Handbook of Solvency for Actuaries and Risk Managers

Benford's Law

An Introduction to Benford's Law

Bernstein Functions

Forecasting with Dynamic Regression Models

Measurement Error Models

Univariate Discrete Distributions

Continuous Multivariate Distributions, Volume 1

Principles of Psychological Assessment

Applied Regression Analysis

Nonlinear Dynamical Systems and Control

Textbook of Clinical Trials

Statistical Outliers and Related Topics

Statistical Physics

Methodological Issues for Health Care Surveys

Retrial Queues

An Introduction to Probability and Statistics Using Basic

Econometrics

Statistical Inference via Convex Optimization

Parametric Estimates by the Monte Carlo Method

Theory of Sampling and Sampling Practice, Third Edition

Point Processes

Matrix Variate Distributions

Analysis of Survival Data

Real Analysis and Probability

Symmetric Multivariate and Related Distributions

The Palgrave Handbook of Survey Research

Statistical Theory

Statistical Inference

Practical Longitudinal Data Analysis

The Essentials of Data Science: Knowledge Discovery Using R

Probability and Statistics for Computer Science

Gaussian Process Regression Analysis for Functional Data

Mathematical Theory of Statistics

Statistical Models for Causal Analysis

A Course in Time Series Analysis

Statistical Methods for Comparative Studies

Linear Statistical Inference and its Applications

Applied Regression Including Computing and Graphics

Handbook of Statistical Genetics

Modern Engineering Statistics

Nonlinear Regression

A History of Probability and Statistics and Their Applications before 1750

Stochastic Processes and Functional Analysis

Infinite Divisibility of Probability Distributions on the Real Line

Handbook of Applied Multivariate Statistics and Mathematical Modeling

Handbook of Applied Economic Statistics

Practical Risk Theory for Actuaries

Free Random Variables

Cross-Diffusion Systems

Advances in Mathematical and Computational Sciences

Growth Curves

Survivorship Analysis for Clinical Studies

Parts per Million Values for Estimating Quality Levels

Adaptive Filtering Under Minimum Mean p-Power Error Criterion

Classical Clifford Algebras

Commodities

Digital Therapeutics

Mathematical Nonparametric Statistics

Probability For Analysts

Constrained Markov Decision Processes

Bayesian Methods for Finite Population Sampling

Georg von Mayr: Die Statistik in Deutschland nach ihrem heutigen Stand. Band 2

Combinatorial Designs and Applications

Computers in Mathematics

Mathematical Methods of Quantum Physics: 2nd Jagna International Workshop

Model Discrimination for Nonlinear Regression Models

Georg von Mayr: Die Statistik in Deutschland nach ihrem heutigen Stand. Band 1

Mixed Poisson Processes

Stochastic Processes and Functional Analysis

Stochastic Large-Scale Engineering Systems

Inspection Errors for Attributes in Quality Control

Probability Theory and Mathematical Statistics

Statistics for Environmental Biology and Toxicology

Integrals Related to the Error Function

Graphical Analysis of Multi-Response Data

Stochastic Geometry

Generalized Wavelets and Hypergroups

Mathematical Statistics

Strong Stable Markov Chains

Multidimensional Statistical Analysis and Theory of Random Matrices

Large Deviations for Discrete-Time Processes with Averaging

Theory of Linear Models

Asymptotics in Statistics and Probability

Actuarial Models for Disability Insurance

Numerical Modelling of Random Processes and Fields

Statistical Methods in Control & Signal Processing

The New S Language

Markov Models & Optimization

Analysis of Binary Data

Graphical Methods for Data Analysis

Biostatistics for Epidemiologists

Introduction to Statistical Investigations

Fundamental Statistics for the Social and Behavioral Sciences

Survey Methodology

Introduction to Linear Regression Analysis

Introductory Statistics

Actuarial Models

Principles of Biostatistics

Statistics

An Introduction to Categorical Data Analysis

Analytic Methods in Sports

Workshop Statistics

Applied Longitudinal Analysis

Experiments

The Analysis of Time Series

Linear Mixed Models

Phylogenetic Comparative Methods in R

Generalized Additive Models

Foundations of Statistics for Data Scientists

Statistics

Computational Statistics

Hidden Markov Models for Time Series

Stochastic Volatility Modeling

Sampling

Linear Regression Analysis

Statistics for Research

Classification and Regression Trees

Bayesian Statistics

The ASQ Certified Six Sigma Green Belt Study Guide

Probability and Stochastic Processes

Clinical Trials

Painless Statistics

Historical and Conceptual Foundations of Measurement in the Human Sciences

Generalized Linear Models

Technical Analysis of Stock Trends

Time Series Analysis

Introduction to Randomized Controlled Clinical Trials

The History of Statistics

Statistics, Student Solutions Manual

Regression Analysis

Nonparametric Statistical Inference

The Financial Mathematics of Market Liquidity

Industrial Statistics with Minitab

Risk Assessment and Decision Making in Business and Industry

Handbook of Item Response Theory

Modern Data Science with R

Nonlinear Programming 4

Case-Control Studies

Data Visualization

Introduction to Probability, Second Edition

Causal Inference for Statistics, Social, and Biomedical Sciences

Applied Linear Regression

Practical Statistics for Medical Research

An Introduction to Analysis of Financial Data with R

Statistical Rethinking

Risk Assessment

Introduction to Stochastic Processes

Intermediate Statistical Investigations

Optimization and Learning via Stochastic Gradient Search

Psychology Statistics For Dummies

Biostatistics for Clinical and Public Health Research

Spatial Data Analysis in Ecology and Agriculture Using R

Spiking Neural P Systems for Time Series Analysis

Applied Multiple Regression/Correlation Analysis for Aviation Research

The Credibility Gap

Mastering Health Data Science Using R

Operations Research

Data Science and Machine Learning

Applied Time Series Analysis for the Social Sciences

Statistical Methods for Communication Studies

Basic Statistics for Life Scientists

Foundations of Multiple Regression and Analysis of Variance

Applied Statistics in Biology

Classical Mechanics

Introduction to Bayesian Data Analysis for Cognitive Science

AP Statistics Premium, 2026: Prep Book with 9 Practice Tests + Comprehensive Review + Online Practice

Advanced Statistical Methods in Life Science

Cause and Effect Business Analytics and Data Science

Bayesian Meta-Analysis

Bayesian Econometric Modelling for Big Data

Statistics by Simulation

Mathematical Properties of Population-Genetic Statistics

Biomathematical Modeling

Probability, Statistics, and Reliability for Engineers and Scientists

R Programming for Mass Spectrometry

Tiny Machine Learning Quickstart

Applied Machine Learning for Data Science Practitioners

Seminal Ideas and Controversies in Statistics

Analysis and Probability on Graphs

The Effect

Copula Additive Distributional Regression Using R

Cambridge AS and A Level Mathematics 9709 2026

A Comprehensive Guide to HSMM

Borel Games

Dynamics of Democratic Elections

Free Random Variables

Designing Faultless Mechanical Products Based on Advanced Reliability Analysis

Queueing Systems with Moving Servers

AI-Driven Software Testing

Deploying Secure Data Science Applications in the Cloud

Abel-Gontcharoff Pseudopolynomials and Stochastic Applications

Large Language Models Ops for Finance

Mastering LangChain

Cross-Diffusion Systems

Self-Different Fractals and Innovation

Regression Analysis

A Philosophical Essay on Probabilities

The Value of Zet to 1, 000, 000 places

Mastering Text Analytics

Robust Small Area Estimation

Causal Analysis with Event History Data Using Stata

Standards, Emergence, and Complex Outcomes

Narrative SQL

Conceptual Variable Design for Scorecards

Intermediate Python and Large Language Models

Spiking Neural P Systems for Time Series Analysis

Data Science and Machine Learning

Applied Time Series Analysis for the Social Sciences

Practical Discrete Mathematics

Machine Learning in Biotechnology and Life Sciences

Statistical Methods for Communication Studies

Basic Statistics for Life Scientists

Optimization and Learning via Stochastic Gradient Search

Foundations of Multiple Regression and Analysis of Variance

Essential Statistics

Psychology Statistics For Dummies

Introduction to Regression Methods for Public Health Using R

AP Statistics Premium, 2026: Prep Book with 9 Practice Tests + Comprehensive Review + Online Practice

Applied Machine Learning for Data Science Practitioners

Applied Statistics in Biology

Classical Mechanics

Introduction to Bayesian Data Analysis for Cognitive Science

Biostatistics for Clinical and Public Health Research

Biomathematical Modeling

Seminal Ideas and Controversies in Statistics

Mastering Health Data Science Using R

Applied Multiple Regression/Correlation Analysis for Aviation Research

Causal Inference

The Math You Need

Operations Research

Cause and Effect Business Analytics and Data Science

Permutation Tests for Complex Data

Matrix Algebra

Statistics, New Empiricism and Society in the Era of Big Data

An Introduction to Statistical Learning

An Introduction to Statistical Learning

Advanced Statistical Methods in Life Science

Sandlot Stats

Bayesian Meta-Analysis

Phylogenetic Comparative Methods in R

Mathletics

Bayesian Econometric Modelling for Big Data

Process Mining Handbook

Mathematical Properties of Population-Genetic Statistics

Statistics by Simulation

R Programming for Mass Spectrometry

Probability, Statistics, and Reliability for Engineers and Scientists

Mathematical Foundations of Quantum Computing

Stochastic Processes

Probability For Dummies

Mathematical Statistics

Control Systems Synthesis

The Mathematics of Ranked-Choice Single-Winner Voting Systems. Can Different Systems of Voting Affect the Results?

A Naïve Bayes' Probabilistic Classifier for Modeling the Quality of Care in a Healthcare Setting

The Credibility Gap

Applied Statistics and Econometrics

Foundations of Factor Analysis

Constrained Principal Component Analysis and Related Techniques

Adversarial Risk Analysis

Financial Modelling with Jump Processes

Analysis and Probability on Graphs

How Did English Songs Evolve? Retrieving Information from Song Lyrics Via Natural Language Processing and Statistical Topic Modeling