This study companion helps you prepare for the SnowPro Core Certification exam. The author guides your studies so you wi......more

"Bayesian Analysis of Probability Distributions" by Kawsar Fatima is an essential reference guide for statisticians, dat......more

While the Poisson distribution is a classical statistical model for count data, the distributional model hinges on the c......more

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This book is about silly research studies and how they can both be illustrative of the research process and funny (with ......more

Mechanical damage to perishable products is a problem that costs millions of dollars annually to the fresh fruit and veg......more

Bayesian Analysis of Etiological Factors for Gallbladder Disease by Richa Srivastava explores the use of Bayesian statis......more

This book focuses on the main advancements made in the economics and social sciences field through the use of grey syste......more

Deep Learning, Volume 48 in the Handbook of Statistics series, highlights new advances in the field, with this new volum......more

The book covers various topics related to inventory management, including different inventory models, techniques for opt......more

In the third and final book of his iconic piano etudes György Ligeti charts a new path relative to the rest of his music......more

The Mathematics of Errors presents an original, rigorous and systematic approach to the calculus of errors, targeted at ......more

This book is designed to train graduate students across disciplines within the fields of public health and medicine, wit......more

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The 49Th Scientific meeting of the Italian Statistical Society was held in June 2018 in Palermo, with more than 450 atte......more

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This textbook integrates important mathematical foundations, efficient computational algorithms, applied statistical inf......more

Census data is widely used by practitioners to understand demographic change, allocate resources, address inequalities, ......more

Census data is widely used by practitioners to understand demographic change, allocate resources, address inequalities, ......more

Modern tools, such as GIS and remote sensing, are increasingly used in the monitoring of agricultural resources. The dev......more

This book provides robust analysis and synthesis tools for Markovian jump systems in the finite-time domain with specifi......more

A disease is defined as rare if the prevalence is fewer than 200,000 in the United States. It is estimated that there ar......more

"In statistics, the Cochran--Mantel--Haenszel test (CMH) is a test used in the analysis of stratified or matched categor......more

In this work, the interaction between the Higgs boson and the top quark is studied with the proton-proton collisions at ......more

During the past half-century, exponential families have attained a position at the center of parametric statistical infe......more

The book describes the theoretical principles of nonstatistical methods of data analysis but without going deep into com......more

This book presents an introduction to variational analysis, a field which unifies theories and techniques developed in c......more

This book provides a self-contained introduction of mixed-effects models and small area estimation techniques. In partic......more

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To date, statistics has tended to be neatly divided into two theoretical approaches or frameworks: frequentist (or class......more

To date, statistics has tended to be neatly divided into two theoretical approaches or frameworks: frequentist (or class......more

This book presents the latest results on the branching fraction and phase space distribution of B0 and Bs0 decays into f......more

Now in its second edition, this introductory statistics textbook conveys the essential concepts and tools needed to deve......more

This book gets you up and running with using R in your research project, focusing on data analysis....more

This book gets you up and running with using R in your research project, focusing on data analysis....more

With a clear step-by-step approach explained using real world examples, this book provides the practical skills you need......more

A crisis is coming for everyone who uses math and science. For decades now, the classical model of probability (the indi......more

A crisis is coming for everyone who uses math and science. For decades now, the classical model of probability (the indi......more

This book focuses on a span of statistical topics relevant to researchers who seek to conduct person-specific analysis o......more

1. Basics of Time Series.- 2. Statistical Inference for Stationary Time Series.- 3. AR Models with Stationary Non-Gaussi......more

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This open access handbook describes foundational issues, methodological approaches and examples on how to analyse and mo......more

This open access handbook describes foundational issues, methodological approaches and examples on how to analyse and mo......more

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The present monograph on stochastic Komatu-Loewner evolutions (SKLEs) provides the first systematic extension of the Sch......more

Chapter 1. Introduction.- Chapter 2. Basic Selective Maintenance Model.- Chapter 3. Selective Maintenance for Multi-Stat......more

This text presents a wide variety of common types of models found in other mathematical modeling texts, as well as some ......more

The development of smart cities is one of the most important challenges over the next few decades. Governments and compa......more

Military organizations around the world are normally huge producers and consumers of data. Accordingly, they stand to ga......more

A properly structured financial model can provide decision makers with a powerful planning tool that helps them identify......more

Full of biological applications, exercises, and interactive graphical examples, Foundational and Applied Statistics for ......more

Written by a prominent statistician and author, the first edition of this bestseller broke new ground in the then emergi......more

This second edition reflects recent developments and regulatory positions on the use of adaptive designs in clinical tri......more

A Text on the Foundation Processes, Analytical Principles, and Implementation Practices of Engineering Risk Management D......more

Since the publication of the first edition of this book, the area of mathematical finance has grown rapidly, with financ......more

Understanding spatial statistics requires tools from applied and mathematical statistics, linear model theory, regressio......more

Common statistical theory applicable to confirmatory phase III trial designs implicitly comes with the assumption that t......more

Chapter 1. Introduction to multi-omics.- Part 1. Omics integration techniques.- Chapter 2. Biomedical applications: the ......more

This Festschrift celebrates Teddy Seidenfeld and his seminal contributions to philosophy, statistics, probability, game ......more

Random process analysis (RPA) is used as a mathematical model in physics, chemistry, biology, computer science, informat......more

Sensing the environment.- Intracellular pattern formation and reaction-diffusion processes.- Statistical mechanics and d......more

Hybrid Censoring Know-How: Models, Methods and Applications focuses on hybrid censoring, an important topic in censoring......more

Philosophers debate the ideas and implications of one of the most important contemporary works in the philosophy of scie......more

Computational Genomics with R provides a starting point for beginners in genomic data analysis and also guides more adva......more

This book covers the main mining issues where geostatistics, a discipline founded in the 1960s to study regionalized var......more

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Introduction.- Random walks and Brownian motion.- Protein receptors and ion channels.- Molecular motors.- Stochastic gen......more

A coherent, concise, and comprehensive course in the statistics needed for a modern career in chemical engineering cover......more

Chapter 1. Private vs. Pooled Transportation: Customer Preference and Congestion Management.- Chapter 2. Optimal Dispatc......more

Preface.- Dedication.- Part I - Inference.- Robust Statistical Inference for One-shot Devices Based on Density Power Div......more

Introduction.- The Standard Model of Particle Physics and the Top Quark.- The LHC and the CMS Detector.- Event Reconstru......more