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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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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…

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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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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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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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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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Gianluca Baio
Bayesian Models in Health Technology Assessment

Aims at presented a thorough and yet accessible description of the philosophy underlying the Bayesian approach to statistical inference, as specifically applied to the process of health technology assessm…

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Brandon LeBeau
Simulation and Power Analysis Using R

Primarily aimed at researchers and graduate students of statistics and data science who want to study simulation and/or power analysis. It could be particularly useful for any researcher needing to supply…

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Michael Brimacombe
A Concise Guide to Medical Research

This book is a concise, beginner's introduction to medical research written for biomedical researchers, medical students, young faculty and clinicians who would like a readable guide to the research proce…

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Seyed Hassan Saneii
Practical Sample Size Determination for Medical and Health Researchers

The book comprehensively and concisely addresses all the needs of researchers in the fields of medicine, public health, and biology-from determining sample size for health indices to sample size determina…

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