Probability and statistics

Process Capability Analysis: Estimating Quality presents a systematic exploration of process capability analysis and how it may be used to estimate quality.

The volume Stochastic Processes by K.

An essential work on the origins of statisticsThe Rise of Statistical Thinking, 1820-1900 explores the history of statistics from the field's origins in the nineteenth century through to the factors that produced the burst of modern statistical innovation in the early twentieth century.

This synthesis lecture provides a survey of work on privacy in online social networks (OSNs).

Data Science in Education Using R is the go-to reference for learning data science in the education field.

Learn How to Use Growth Curve Analysis with Your Time Course Data An increasingly prominent statistical tool in the behavioral sciences, multilevel regression offers a statistical framework for analyzing longitudinal or time course data.

Demonstrating how to apply financial formulas to prove or disprove the utility of 100% Nondesctructive testing (NDT), this book helps readers build the financial case for their NDT projects.

There is no doubt that quality has become a major feature in the survival plan of organisations.

This new edition aims to convince social scientists to take a counterfactual approach to the core questions of their fields.

In seismology an earthquake source is described in terms of a fault with a particular rupture size.

This book provides an undergraduate introduction to analysing data for data science, computer science, and quantitative social science students.

Take your machine learning skills to the next level by mastering the best framework for uncertainty quantification - Conformal PredictionKey FeaturesMaster Conformal Prediction, a fast-growing ML framework, with Python applications.

The practice of business is changing.

Clinical Data Quality Checks for CDISC Compliance using SAS is the first book focused on identifying and correcting data quality and CDISC compliance issues with real-world innovative SAS programming techniques such as Proc SQL, metadata and macro programming.

Charles M.

In Nonplussed!

The second edition of this bestseller provides a practical and accessible introduction to the main concepts, foundation, and applications of Bayesian networks.

Intended for advanced undergraduates and graduate students, this book is a practical guide to the use of probability and statistics in experimental physics.

Since 2011, the Fourth Industrial Revolution (IR4.

This book discusses the why and how of each step of data-based medical research that can provide basic information to emerging researchers and medical graduate students who write theses or publish articles.

Hyperbolic Dynamics and Brownian Motion illustrates the interplay between distinct domains of mathematics.

This book provides an extensive coverage of the methodology of survival analysis, ranging from introductory level material to deeper more advanced topics.

Recent years have shown important and spectacular convergences between techniques traditionally used in theoretical physics and methods emerging from modern mathematics (combinatorics, probability theory, topology, algebraic geometry, etc).

Designed for a one-semester course, Applied Statistics for Business and Economics offers students in business and the social sciences an effective introduction to some of the most basic and powerful techniques available for understanding their world.

This monograph explores the interdisciplinary applications of information theory, focusing on the concepts of entropy, mutual information, and their implications in various fields.

This book focuses on recent advances, approaches, theories and applications related to mixture models.

This book presents an introduction to geostatistics stressing the multivariate aspects for scientists, engineers or statisticians.

This book offers a thorough understanding of Hierarchical Archimedean Copulas (HACs) and their practical applications.

Steps forward in mathematics often reverberate in other scientific disciplines, and give rise to innovative conceptual developments or find surprising technological applications.

Along with many practical applications, Bayesian Model Selection and Statistical Modeling presents an array of Bayesian inference and model selection procedures.

Enumerative Combinatorics presents elaborate and systematic coverage of the theory of enumeration.

This work is devoted to several problems of parametric (mainly) and nonparametric estimation through the observation of Poisson processes defined on general spaces.

Let us assume that an observation Xi is a random variable (r.

Modeling Uncertainty: An Examination of Stochastic Theory, Methods, and Applications, is a volume undertaken by the friends and colleagues of Sid Yakowitz in his honor.

This book highlights selected papers from the 4th ICSA-Canada Chapter Symposium, as well as invited articles from established researchers in the areas of statistics and data science.

Routine applications of advanced statistical methods on real data have become possible in the last ten years because desktop computers have become much more powerful and cheaper.

The material accumulated and presented in this volume can be ex- plained easily.

This volume contains a selection of papers by the participants of the 6.

Elections are random events.

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This first volume of a two-volume overview covers the basic theory of Banach spaces, harmonic analysis and probability.

From the reviews of the First Edition: "e;This excellent book is based on several sets of lecture notes written over a decade and has its origin in a one-semester course given by the author at the ETH, Zurich, in the spring of 1970.

Useful in physics, economics, psychology, and other fields, random matrices play an important role in the study of multivariate statistical methods.

Machine Translation and Transliteration involving Related, Low-resource Languages discusses an important aspect of natural language processing that has received lesser attention: translation and transliteration involving related languages in a low-resource setting.