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Knill Oliver: Probability Theory And
Stochastic Processes With Applications

Probability Theory And Stochastic Processes With Applications

This book introduces factor analysis methods for the study of multivariate stochastic processes whose structure evolves over time. It introduces the theory of factor analysis and evolutionary stochastic processes and combines that to study evolutionary factor models. The book includes many real examples to illustrate applications from such fields as macroeconomics, finance, neuroscience, communication, and psychology. MATLAB® and R code is included throughout the book for implementation of the methods.

This book introduces factor analysis methods for the study of multivariate stochastic processes whose structure evolves over time. It introduces the theory of factor analysis and evolutionary stochastic processes and combines that to study evolutionary factor models. The book includes many real examples to illustrate applications from such fields as macroeconomics, finance, neuroscience, communication, and psychology. MATLAB® and R code is included throughout the book for implementation of the methods.

Evolutionary Factor Analysis

This textbook offers a concise but self-contained introduction to the art of numerical modelling in sciences. It discusses all the steps, from the mathematical foundations of the model to the solution procedures that are commonly used by advanced practitioners.

Introduction to Numerical Modeling in the Earth Sciences

Chapman & Hall/CRC Biostatistics Series

Age-Period-Cohort Models

De Gruyter Textbook

Financial Mathematics with Matlab®

Stochastic Analysis

Emerging Materials and Technologies

This book explains the physical principles and theoretical basis of acoustics of nanofluids with mathematical rigor, focusing on concepts and points of view that have proven effective in applications such as heat transfer, petroleum science and technology, wastewater treatment, food processing, and hydrogen production.

This book explains the physical principles and theoretical basis of acoustics of nanofluids with mathematical rigor, focusing on concepts and points of view that have proven effective in applications such as heat transfer, petroleum science and technology, wastewater treatment, food processing, and hydrogen production.

Thermo-Acoustics of Nanofluids and Transfer Processes

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. Blogger, teacher, and computer scientist Allen B. Downey knows well that people have an innate ability both to understand statistics and to be fooled by them. As he makes clear in this accessible introduction to statistical thinking, the stakes are big. Simple misunderstandings have led to incorrect medical prognoses, underestimated the likelihood of large earthquakes, hindered social justice efforts, and resulted in dubious policy decisions. There are right and wrong ways to look at numbers, and Downey will help you see which are which. Probably Overthinking It uses real data to delve into real examples with real consequences, drawing on cases from health campaigns, political movements, chess rankings, and more. He lays out common pitfalls--like the base rate fallacy, length-biased sampling, and Simpson's paradox--and shines a light on what we learn when we interpret data correctly, and what goes wrong when we don't. Using data visualizations instead of equations, he builds understanding from the basics to help you recognize errors, whether in your own thinking or in media reports. Even if you have never studied statistics--or if you have and forgot everything you learned--this book will offer new insight into the methods and measurements that help us understand the world.

How to Use Data to Answer Questions, Avoid Statistical Traps, and Make Better Decisions

Probably Overthinking It

This book explores the design and analysis of fractional-order and active disturbance rejection control, examining both the theoretical foundations and their practical applications.

Fractional Order PID and ADR Controls

Provides an approachable introduction for researchers who are new to Bayes, meta-analysis, or both. There is an emphasis on hands-on learning using a variety of software packages.

A Practical Introduction

Bayesian Meta-Analysis

An Introduction to Applied Statistics offers a comprehensive and accessible foundation in applied statistics, empowering students with the essential concepts and practical skills necessary for data-driven decision-making in today's world.

With Step-By-Step SPSS Instructions

An Introduction to Applied Statistics

Spatial statistics is a specialised field of research, concepts and methods directed towards addressing problems inherent to the statistical treatment of spatial data.. This book is directed towards an audience of social and political scientists, much broader than the scientific community specialized in spatial statistics and spatial econometrics. As such, it will be written in a language appropriate for non-experts, requiring only a basic knowledge of statistics and a minimum familiarity with mathematical formalism.

Spatial statistics is a specialised field of research, concepts and methods directed towards addressing problems inherent to the statistical treatment of spatial data.. This book is directed towards an audience of social and political scientists, much broader than the scientific community specialized in spatial statistics and spatial econometrics. As such, it will be written in a language appropriate for non-experts, requiring only a basic knowledge of statistics and a minimum familiarity with mathematical formalism.

Concepts & Tools for Multidisciplinary Research

Spatial Statistics for the Social Sciences

Theory, Methods, and Computation

Elements of Stochastic Finance

Analytics and AI for Healthcare

This book centres on the topic of digital twins for superior healthcare decision support, as access is enabled to large volumes of multi-dimensional data such as patient's electronic medical records, medical scans, and data.

For Superior Clinical Decision Making

Digital Twins

Probability Theory And Stochastic Processes With Applications

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Bibliografische Angaben

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