Applied Statistics for Data Science: From Fundamentals to Advanced Techniques in Data Analysis, Statistical Inference, Regression, and Predictive Modeling
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Statistical Science: From Theory to Applied Research II: SIS-FENStatS 2026, Short Papers, Contributed Sessions 1 (Italian Statistical Society Series on Advances in Statistics)
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Applied Plant Science Experimental Design and Statistical Analysis Using SAS® OnDemand for Academics
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Statistical Science: From Theory to Applied Research III: SIS-FENStatS 2026, Short Papers, Contributed Sessions 2 (Italian Statistical Society Series on Advances in Statistics)
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POLITICAL DATA ANALYSIS WITH R: ANALYZING ELECTIONS, PUBLIC OPINION, AND POLITICAL TRENDS USING DATA SCIENCE AND STATISTICAL MODELING (THE APPLIED DATA SCIENCE WITH R SERIES)
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Statistical Science: From Theory to Applied Research IV: SIS-FENStatS 2026, Short Papers, Contributed Sessions 3 (Italian Statistical Society Series on Advances in Statistics)
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PUBLIC HEALTH DATA SCIENCE WITH R: USING STATISTICAL ANALYSIS AND MACHINE LEARNING TO UNDERSTAND POPULATION HEALTH AND DISEASE PATTERNS (THE APPLIED DATA SCIENCE WITH R SERIES)
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Statistical Science: From Theory to Applied Research I: SIS-FENStatS 2026, Short Papers, Plenary, Specialized, FENStatS, and Solicited Sessions ... Society Series on Advances in Statistics)
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Beyond Multiple Linear Regression: Applied Generalized Linear Models And Multilevel Models in R (Chapman & Hall/CRC Texts in Statistical Science)
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POLITICAL DATA ANALYSIS WITH R: ANALYZING ELECTIONS, PUBLIC OPINION, AND POLITICAL TRENDS USING DATA SCIENCE AND STATISTICAL MODELING (THE APPLIED DATA SCIENCE WITH R SERIES)
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Bayes Rules!: An Introduction to Applied Bayesian Modeling (Chapman & Hall/CRC Texts in Statistical Science)
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PUBLIC HEALTH DATA SCIENCE WITH R: USING STATISTICAL ANALYSIS AND MACHINE LEARNING TO UNDERSTAND POPULATION HEALTH AND DISEASE PATTERNS (THE APPLIED DATA SCIENCE WITH R SERIES)
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Statistics for Technology – A Course in Applied Statistics – Third Edition (Revised) – Routledge
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STATISTICAL SAMPLING APPLIED THROUGH EXCEL. CONCEPTS AND EXERCISES
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Statistics for Finance: Texts in Statistical Science (Chapman & Hall/CRC Texts in Statistical Science)
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Statistical Analysis in Forensic Science: Evidential Value of Multivariate Physicochemical Data
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Statistical Tableau – How to Use Statistical Models and Decision Science in Tableau
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Principles Of Statistical Inference From A Neo-fisherian Perspective: 4 (Advanced Series on Statistical Science & Applied Probability)
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Statistical Process Control applied in industry: Case study at a poultry slaughterhouse
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Data Science and Machine Learning by Kroese & Dirk P.Botev & Zdravko University of New South WalesTa
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Statistical Practice for Data Science: With Hands-On Illustrations Using R
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Statistical Hypothesis Testing in Context – Reproducibility, Inference, and Science – Volume 52
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Statistical Practice for Data Science: With Hands-On Illustrations Using R
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Surrogates: Gaussian Process Modeling, Design, and Optimization for the Applied Sciences – Routledge
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Applied Statistical Models for Modern Quant Finance with Python: A Practical Guide to Statistical Modeling, Market Forecasting, and Quant System Design
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Applied Reliability and Statistical Modeling: Their Applications (Springer Series in Reliability Engineering)
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Statistical Foundations of Data Science (Chapman & Hall/CRC Data Science Series)
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Multivariate Statistics and Machine Learning : An Introduction to Applied Data Science Using R and Python
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Surrogates: Gaussian Process Modeling, Design, and Optimization for the Applied Sciences (Chapman & Hall/CRC Texts in Statistical Science)
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Statistical Foundations, Reasoning and Inference: For Science and Data Science (Springer Series in Statistics)
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Applied Statistical Modelling for Ecologists : A Practical Guide to Bayesian and Likelihood Inference Using R, JAGS, NIMBLE, Stan and TMB
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Statistical Inference via Data Science : A ModernDive into R and the Tidyverse
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Prevention As Altering the Course of Development : A Special Issue of applied Developmental Science
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Statistical and Probabilistic Methods in Actuarial Science (Chapman & Hall/CRC Series in Actuarial Science)
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Statistical Analytics for Health Data Science with SAS and R, Two-Volume Set
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