General

Single volume reference on using various aspects of data science to evaluate, understand, and solve business problems A reference book for anyone in the field of data science, Applied Machine Learning for Data Science Practitioners walks readers through...

This book constitutes the refereed proceedings of the 6th Conference on Research in Computer Science, CRI 2023, held in Yaounde, Cameroon, during December 12-13, 2023. The 16 full papers included in this book were carefully reviewed and selected from...

Conducting an in-depth analysis of machine learning, this book proposes three perspectives for studying machine learning: the learning frameworks, learning paradigms, and learning tasks. With this categorization, the learning frameworks reside within the...

This book is devoted to the fundamentals of order and rank statistics. Primarily focusing on theoretical properties, it also discusses practical aspects, including interesting applications of step and impulse functions for the distribution of random...

This book extends the theory and applications of random evolutions to semi-Markov random media in discrete time, essentially focusing on semi-Markov chains as switching or driving processes. After giving the definitions of discrete-time semi-Markov...

Information usually comes in pieces, from different sources. It refers to different, but related questions. Therefore information needs to be aggregated and focused onto the relevant questions. Considering combination and focusing of information as the...

If you place a large number of points randomly in the unit square, what is the distribution of the radius of the largest circle containing no points? Of the smallest circle containing 4 points? Why do Brownian sample paths have local maxima but not...

"Our community has continued to grow exponentially, thanks to those who inspire the next generation. And inspiring the next generation is what the authors of Analyzing Baseball Data with R are doing. They are setting the career path for still thousands...

Factorial design plays a fundamental role in efficient and economic experimentation with multiple input variables and is extremely popular in various fields of application, including engineering, agriculture, medicine and life sciences. Factorial...

Researchers and students who use empirical investigation in their work must go through the process of selecting statistical methods for analyses, and they are often challenged to justify these selections. This book is designed for readers with limited...

Researchers and students who use empirical investigation in their work must go through the process of selecting statistical methods for analyses, and they are often challenged to justify these selections. This book is designed for readers with limited...

This book presents a systematic and comprehensive treatment of various prior processes that have been developed over the past four decades for dealing with Bayesian approach to solving selected nonparametric inference problems. This revised edition has...

This book brings together two major trends: data science and blockchains. It is one of the first books to systematically cover the analytics aspects of blockchains, with the goal of linking traditional data mining research communities with novel data...

From vaccine trials to elections and self-driving cars, statistics shapes our lives. Whatever your major, Essentials of Statistics can help you understand the role of statistics in our world. Technology is on the verge of a major shift, and the...

An Introductory Handbook of Bayesian Thinking brings Bayesian thinking and methods to a wide audience beyond the mathematical sciences. Appropriate for students with some background in calculus and introductory statistics, particularly for...

Discover the impact statistics has on your life and make better decisions when faced with uncertainty. Utts's SEEING THROUGH STATISTICS, 5th Edition, develops statistical literacy and critical thinking through real-world applications with an emphasis on...

Handbook of Statistical Analysis: AI and ML Applications, third edition, is a comprehensive introduction to all stages of data analysis, data preparation, model building, and model evaluation. This valuable resource is useful to students and...

'Concise, breezy and pragmatic' Wall Street Journal'Remarkably practical techniques for comprehending and communicating the maths that really matters' Adam GrantUntil very recently, most languages had no words for numbers greater than five - anything...

This book continues the mission of the previous text by the author, Lectures on Categorical Data Analysis, by expanding on the introductory concepts from that volume and providing a mathematically rigorous presentation of advanced topics and current...

While the Poisson distribution is a classical statistical model for count data, the distributional model hinges on the constraining property that its mean equal its variance. This text instead introduces the Conway-Maxwell-Poisson distribution and...

Originally published in 1986, this book consists of 100 problems in probability and statistics, together with solutions and, most importantly, extensive notes on the solutions. The level of sophistication of the problems is similar to that encountered in...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781639870134Author Alice MorganFormat HardbackPage Count 243Imprint Murphy & Moore PublishingPublisher Murphy & Moore PublishingWeight(grams)...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781632388803Author Derek BeavenFormat HardbackPage Count 241Imprint NY Research PressPublisher NY Research PressWeight(grams) 848gDimensions(mm) 279mm *...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781682854860Author Michael FullerFormat HardbackPage Count 255Imprint Willford PressPublisher Willford PressWeight(grams) 821gDimensions(mm) 276mm * 203mm *...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9798888360477Author Canaan KnightFormat HardbackPage Count 258Imprint Larsen and Keller EducationPublisher Larsen and Keller EducationWeight(grams)...

Praise for the fourth edition:"This book is an excellent primer on probability .... The flow of the text aids its readability, and the book is indeed a treasure trove of set and solved problems. --Dalia Chakrabarty, Brunel University, UK"This textbook...

When interpreting environmental data, scientists and engineers first must select the correct statistical tool to use for their analysis. By doing this they will be able to make sound decisions in their efforts to solve environmental problems. They need a...

Many situations exist in which solutions to problems are represented as function space integrals. Such representations can be used to study the qualitative properties of the solutions and to evaluate them numerically using Monte Carlo methods. The...

This book discusses the systems of interacting particles evolving in the random media. The focus is on the study of both the finite subsystems motion and the flow, describing motion of all particles in the space. The integral characteristics of the...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781632387059Author Everett DaviesFormat HardbackPage Count 299Imprint NY Research PressPublisher NY Research PressWeight(grams) 916gDimensions(mm) 276mm *...

This book provides a concise overview of a variety of techniques for analyzing statistical, scientific, and financial data, using MATLAB (R) to integrate several approaches to data analysis and statistics. The chapters offer a broad review of...

Transfer learning is one of the most important technologies in the era of artificial intelligence and deep learning. It seeks to leverage existing knowledge by transferring it to another, new domain. Over the years, a number of relevant topics have...

Interpreting poll data as a prediction of election outcomes is a practice as old as the field, rooted in a fundamental misunderstanding of what poll data means.By first understanding how polls work at a fundamental level, this book gives readers the...

The book focuses on several skew-normal mixed effects models, and systematically explores statistical inference theories, methods, and applications of parameters of interest. This book is of academic value as it helps to establish a series of statistical...

This book does not focus solely on asymptotic extreme value distributions. In addition to the traditional asymptotic methods, it introduces a data-driven, computer-based method, which provides insights into the exact extreme value distribution inherent...

Statistical Methods Using SPSS provides a practical approach for better understanding of the advanced statistical concepts that are applied in business, economics, epidemiology, public health, agriculture and other areas of data analytics. Advanced...

Statistical Design and Analysis of Experiments embraces a holistic approach by building a solid foundation of the theoretical aspects followed by easily relatable numerical examples. Examples are first worked out manually and explained step-by-step,...

This new edition emphasizes and facilitates the conceptual understanding of statistics and statistical concepts for the purpose of reading and accurately interpreting research literature. The use of hand calculators is deemphasized. Instead, computer...

This book offers a clear and accessible guide to cross-tabulation analysis, transforming a complex subject into an accessible topic. It diverges from traditional statistical texts, adopting a conversational tone that addresses common questions and...

Rare Event Simulation In a probabilistic model, a rare event is an event with a very small probability of occurrence. The forecasting of rare events is a formidable task but is important in many areas. For instance a catastrophic failure in a transport...