Probability and statistics

The progress of science and technology has placed Queueing Theory among the most popular disciplines in applied mathematics, operations research, and engineering.

This unique volume presents chapters written on the areas of life-testing and reliability by many well-known researchers who have contributed significantly to these two areas over the years.

This book discusses statistical process control (SPC) concepts, emphasizing the need to establish stability of work processes.

This unique volume presents chapters written on the areas of life-testing and reliability by many well-known researchers who have contributed significantly to these two areas over the years.

An exploration of fascinating scientific research about what intelligence is, where it comes from, and how it might be enhanced.

This Element introduces theories and applications of embodied cognition including embedded, extended, enactive, and ecological approaches.

An accessible review of genetic and neuroimaging research that explains what determines intelligence and how we might enhance it.

This book provides an account of weak convergence theory, empirical processes, and their application to a wide variety of problems in statistics.

AP Teachers' #1 Choice!

An accessible review of genetic and neuroimaging research that explains what determines intelligence and how we might enhance it.

This book contains contributions from the participants of the international conference "e;Foundations of Modern Statistics"e; which took place at Weierstrass Institute for Applied Analysis and Stochastics (WIAS), Berlin, during November 6-8, 2019, and at Higher School of Economics (HSE University), Moscow, during November 30, 2019.

Methodologies and recipes to regularize any machine learning and deep learning model using cutting-edge technologies such as stable diffusion, Dall-E and GPT-3Purchase of the print or Kindle book includes a free PDF eBookKey FeaturesLearn to diagnose the need for regularization in any machine learning modelRegularize different ML models using a variety of techniques and methodsEnhance the functionality of your models using state of the art computer vision and NLP techniquesBook DescriptionRegularization is an infallible way to produce accurate results with unseen data, however, applying regularization is challenging as it is available in multiple forms and applying the appropriate technique to every model is a must.

SPSS Explained provides the student with all that they need to undertake statistical analysis using SPSS.

An exploration of fascinating scientific research about what intelligence is, where it comes from, and how it might be enhanced.

This Element introduces theories and applications of embodied cognition including embedded, extended, enactive, and ecological approaches.

This book discusses statistical process control (SPC) concepts, emphasizing the need to establish stability of work processes.

This book explores the transformative impact of drone technology and unmanned aerial systems (UAS) across diverse industries, from precision agriculture and logistics to disaster response and forensic investigations.

Dieses Lehrbuch liefert einen verständnisorientierten Einstieg in die asymptotische Stochastik.

Optimization Methods for Finite Element Analysis and Design describes recent developments in Finite Element Methods (FEM).

Copula additive distributional regression enables the joint modeling of multiple outcomes, an essential aspect of many real-world research problems.

Copula additive distributional regression enables the joint modeling of multiple outcomes, an essential aspect of many real-world research problems.

Optimization Methods for Finite Element Analysis and Design describes recent developments in Finite Element Methods (FEM).

R Companion to Epidemiology: Study Design and Data Analysis is a companion volume to the classic textbook by Mark Woodward, Epidemiology: Study Design and Data Analysis, Third Edition.

R Companion to Epidemiology: Study Design and Data Analysis is a companion volume to the classic textbook by Mark Woodward, Epidemiology: Study Design and Data Analysis, Third Edition.

Efficiency and productivity improvement are imperative for businesses to remain competitive in an increasingly dynamic marketplace.

This book focuses on four key issues that are crucial to achieving productivity and sustainability in the circular supply chain management industry.

Quantitative Methods for Second Language Research introduces approaches to and techniques for quantitative data analysis in second language research, with a primary focus on second language learning and assessment research.

BIOCALCULUS: CALCULUS, PROBABILITY, AND STATISTICS FOR THE LIFE SCIENCES shows you how calculus relates to biology, illustrating the topics of calculus with [real-life?

This book is the result of a spirited debate stimulated by a recent meeting of the Society of Multivariate Experimental Psychology.

This monograph is written for students at the graduate level in biostatistics, statistics or other disciplines that collect longitudinal data.

Quadratic programming is a mathematical technique that allows for the optimization of a quadratic function in several variables.

Written with medical statisticians and medical researchers in mind, this intermediate-level reference explores the use of SAS for analyzing medical data.

The ancient game of Go is one of the less obvious candidates for mathematical analysis.

Adaptive Stochastic Optimization Techniques with Applications provides a single, convenient source for state-of-the-art information on optimization techniques used to solve problems with adaptive, dynamic, and stochastic features.

Trained to extract actionable information from large volumes of high-dimensional data, engineers and scientists often have trouble isolating meaningful low-dimensional structures hidden in their high-dimensional observations.

Since the beginning of the Internet age and the increased use of ubiquitous computing devices, the large volume and continuous flow of distributed data have imposed new constraints on the design of learning algorithms.

Decision makers are often faced with several conflicting alternatives.

Confidence Intervals for Proportions and Related Measures of Effect Size illustrates the use of effect size measures and corresponding confidence intervals as more informative alternatives to the most basic and widely used significance tests.

This book presents tools and techniques for descriptive, predictive, and prescriptive analytics applicable across multiple domains.

Clustering remains a vibrant area of research in statistics.

Drawing on the authors' two decades of experience in applied modeling and data mining, Foundations of Predictive Analytics presents the fundamental background required for analyzing data and building models for many practical applications, such as consumer behavior modeling, risk and marketing analytics, and other areas.

A Proven, Hands-On Approach for Students without a Strong Statistical FoundationSince the best-selling first edition was published, there have been several prominent developments in the field of machine learning, including the increasing work on the statistical interpretations of machine learning algorithms.

Written by an experienced researcher and portfolio manager who coined the term "e;risk parity,"e; this book provides readers with a practical understanding of the risk parity investment approach.

Introduction to Theory of Control in Organizations explains how methodologies from systems analysis and control theory, including game and graph theory, can be applied to improve organizational management.