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Lei Hua
Practical Statistical Consulting

This book presents a practical introduction to statistical consulting through 36 carefully designed hypothetical case studies drawn from realistic problems that resemble those commonly encountered in stat…

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Rafael A Irizarry
Introduction to Data Science

Unlike the first edition, the new edition has been split into two books.Thoroughly revised and updated, this is the first book of the second edition of Introduction to Data Science: Data Wrangling and Vis…

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Kandethody M Ramachandran, Chris P Tsokos
Mathematical Statistics with Applications in R

Mathematical Statistics with Applications in R, Fourth Edition offers a modern calculus-based theoretical introduction to mathematical statistics and applications that spans numerous foundational and esse…

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Mark Prell
What Are the Odds?

From bar bets to Nobel Prizes, viral outbreaks to lottery wins, how statistics shapes our choices, reveals hidden truths, and guides us toward certainty in uncertain times.We live in an uncertain world. M…

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Dani Gamerman, Hedibert F Lopes, Flávio Bambirra Gonçalves
Markov Chain Monte Carlo

Marking a pivotal moment in the evolution of Bayesian inference, this third edition of this seminal textbook on Markov Chain Monte Carlo (MCMC) methods reflects the profound transformations in both the fi…

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Allen B. Downey
Probably Overthinking It

An essential guide to the ways data can improve decision making.Statistics are everywhere: in news reports, at the doctor's office, and in every sort of forecast, from the stock market to the weather. Blo…

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Zhiqiang Tan
A Course in Large-Sample and High-Dimensional Theory

This book provides a systematic treatment of two central regimes in statistical theory: classical large-sample theory for M- and Z-estimation with a fixed number of parameters, and high-dimensional theory…

lieferbar innerhalb 2-3 Wochen

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Bilal M. Ayyub
Risk Analysis in Engineering and Economics

Now in its third edition, this textbook is required reading for decision-making under conditions of uncertainty. Drawing on topics of uncertainty, risk modeling, and analysis, the book covers everything f…

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Christopher Hay-Jahans
An R Companion to Linear Statistical Models

The 2nd edition of An R Companion to Linear Statistical Models includes accessible introductions to writing R code as well as making use of functions through relevant examples which cover methods used for…

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Jan Dul
Necessary Condition Analysis (NCA)

Necessary Condition Analysis (NCA) is a new research method for data analysis. Its unique feature is the use of 'necessary but not sufficient' logic to detect the critical 'must have' factors in datasets,…

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Gun Violence

This book provides an overview of adequate data and informative analyses on important topics in gun violence research and exposes the opportunities and needs for the latest statistical efforts. It engages…

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Hira L. Koul, Anton Schick, Palaniappan Vellaisamy
Nonparametric Inference

Provides a comprehensive and balanced treatment of both classical and modern methods in nonparametric inference. It begins with foundational topics such as order statistics, ranks, and confidence interval…

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Yixin Fang
Every Coin Has Two Sides

The book introduces basic and advanced statistical inference and causal inference methods relevant to pharmaceutical statics and distills seventy fundamental ideas and concepts-symbolized as gold coins, e…

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Haipeng Xing, Chris Chatfield
The Analysis of Time Series

This eighth edition presents a systematic treatment of time-series analysis, integrating classical statistical methods with recent advances in machine learning and artificial intelligence.

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Gary Smith
Essential Statistics, Regression, and Econometrics

Essential Statistics, Regression, and Econometrics, Third Edition will helps students in introductory statistics courses develop statistical reasoning and critical thinking skills. The book demonstrates t…

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Dick J. Brus
Spatial Sampling with R

Scientific research often starts with data collection. However, many researchers pay insufficient attention to this first step in their research. The author, researcher at Wageningen University and Resear…

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Buch

Dani Gamerman, Hedibert F. Lopes, Flávio Bambirra Gonçalves
Markov Chain Monte Carlo

Marking a pivotal moment in the evolution of Bayesian inference, the third edition of this seminal textbook on Markov Chain Monte Carlo (MCMC) methods reflects the profound transformations in both the fie…

lieferbar innerhalb 2-3 Wochen

Buch

Tirthankar Dasgupta, Donald B. Rubin
Introduction to Modern Randomization-Based Design and Analysis for Causal Inference

This book provides a modern, accessible, and computationally supported introduction to experimental design grounded firmly in randomization and the formulation of ideas and methods in terms of potential o…

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Nancy Reid, Cristiano Varin, Grace Y. Yi
Likelihood and Its Extensions

This book provides an overview of the many "adjective"-likelihood functions that have been developed in various contexts most of the likelihood-type inference functions current in the literature…

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Richard J Samworth, Rajen D Shah
Modern Statistical Methods and Theory

Based on courses taught at the University of Cambridge, this text presents core contemporary statistical methods and theory in an accessible, self-contained and rigorous fashion, with a focus on finite-sa…

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