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Probability and Statistics for Physical Sciences

Statistics Playbook

Probability : An Introduction Through Theory and Exercises

Statistics and Data Analysis for Engineers and Scientists

Statistical Methods for the Social Sciences, Global Edition

Exploring University Mathematics with Python

Statistics for Business and Economics

IBM SPSS Statistics 29 Step by Step : A Simple Guide and Reference

A Practical Guide to Data Analysis Using R : An Example-Based Approach

Advanced Issues in Partial Least Squares Structural Equation Modeling

A Ramble through Probability : How I Learned to Stop Worrying and Love Measure Theory

Probabilistic Aesthetics of the Avant-Gardes : Predictive Arts

Fundamentals of Supervised Machine Learning : With Applications in Python, R, and Stata

Introduction to Probability, Statistics & R : Foundations for Data-Based Sciences

Statistical Modelling and Risk Analysis : Selected contributions from ICRA9, Perugia, Italy, May 25-27, 2022

Algorithmic Learning in a Random World

Statistical Inference and Machine Learning for Big Data

Numerical Methods for Solving Discrete Event Systems : With Applications to Queueing Systems

Introduction to Statistics and Data Analysis : With Exercises, Solutions and Applications in R

Emerging Topics in Modeling Interval-Censored Survival Data

Recent Developments in Statistics and Data Science : SPE2021, Evora, Portugal, October 13–16

Innovations in Multivariate Statistical Modeling : Navigating Theoretical and Multidisciplinary Domains

Essentials of Excel VBA, Python, and R : Volume I: Financial Statistics and Portfolio Analysis

Ten Projects in Applied Statistics

Recent Advances on Sampling Methods and Educational Statistics : In Honor of S. Lynne Stokes

Stochastic Processes, Statistical Methods, and Engineering Mathematics : SPAS 2019, Vasteras, Sweden, September 30–October 2

Trends on Construction in the Digital Era : Proceedings of ISIC 2022

Discrete Choice Analysis with R

Robust Control for Discrete-Time Markovian Jump Systems in the Finite-Time Domain

Predictive Analytics with KNIME : Analytics for Citizen Data Scientists

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