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Discovering statistics using IBM SPSS statistics

Everything is predictable : how Bayes' remarkable theorem explains the world

Statistics for business and economics

Introduction to the new statistics : estimation, open science, and beyond

Probability and statistics for physical sciences

Basic statistics in business and economics

Statistics slam dunk : statistical analysis with R on real NBA data

Discovering statistics using IBM SPSS statistics

Statistical methods for the social sciences

A Pen and Paper Introduction to Statistics

Introductory statistics, international adaptation

Everything is predictable : how Bayes' remarkable theorem explains the world

Probability and statistics for STEM : a course in one semester

Elementary statistical methods

Elements of dimensionality reduction and manifold learning

Introductory statistics : a student-centered approach

Ten projects in applied statistics

Quantitative Biosciences : Dynamics across Cells, Organisms, and Populations

Introduction to the New Statistics: Estimation, Open Science, and Beyond

Applied multivariate statistics with R

Introduction to random signals, estimation theory, and Kalman filtering

Decision making under uncertainty, with a special emphasis on geosciences and education

Bayesian statistical modeling with Stan, R, and Python

Problem Solving: A statistician's guide, Second edition

Recurrence interval analysis of financial time series

Group verbal decision analysis : theory and applications

Introduction to the New Statistics: Estimation, Open Science, and Beyond

Stochastic approximation : a dynamical systems viewpoint

Discovering statistics using IBM SPSS statistics

Practical time series analysis in natural sciences

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