General

Adaptive statistical tests, developed over the last 30 years, are often more powerful than traditional tests of significance, but have not been widely used. To date, discussions of adaptive statistical methods have been scattered across the literature...

Data clustering, also known as cluster analysis, is an unsupervised process that divides a set of objects into homogeneous groups. Since the publication of the first edition of this monograph in 2007, development in the area has exploded, especially in...

Tremendous progress has taken place in the related areas of uniform pseudorandom number generation and quasi-Monte Carlo methods in the last five years. This volume contains recent important work in these two areas, and stresses the interplay between...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781581120417Author Giray OktenFormat PaperbackPage Count 108Imprint Dissertation.comPublisher Dissertation.comWeight(grams) 145gDimensions(mm) 216mm * 140mm...

The study of random growth models began in probability theory about 50 years ago, and today this area occupies a central place in the subject. The considerable challenges posed by these models have spurred the development of innovative probability theory...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781629600895Author Sas InstituteFormat PaperbackPage Count 80Imprint SAS InstitutePublisher SAS InstituteWeight(grams) 200gDimensions(mm) 279mm * 210mm * 4mm

Human beings have long been both fascinated and appalled by randomness. On the one hand, we love the thrill of a surprise party or the freedom of not knowing what tomorrow will bring. We are inexplicably delighted by strange coincidences and striking...

This book is full of clear notes, tables, graphs and worked examples for the current GCSE Higher Level Statistics courses for the AQA and Edexcel exam boards. There are loads of tips and test questions on every topic to help you get ready for your exams...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781580253529Author Paul D. AllisonFormat PaperbackPage Count 308Imprint SAS PublishingPublisher SAS PublishingWeight(grams) 698gDimensions(mm) 210mm * 280mm...

Accurate data entry and analysis can be deceptively labor-intensive and time-consuming. Creating and Verifying Data Sets with Excel is a focused, easy-to-read guide that gives readers the wherewithal to make use of a remarkable set of data tools tucked...

This volume first introduces the mathematical tools necessary for understanding and working with a broad class of applied stochastic models. The toolbox includes Gaussian processes, independently scattered measures such as Gaussian white noise and...

This research monograph on circular data analysis covers some recent advances in the field, besides providing a brief introduction to, and a review of, existing methods and models. The primary focus is on recent research into topics such as change-point...

This book presents the latest numerical solutions to initial value problems and boundary value problems described by ODEs and PDEs. The author offers practical methods that can be adapted to solve wide ranges of problems and illustrates them in the...

This is an introductory course on the methods of computing asymptotics of probabilities of rare events: the theory of large deviations. The book combines large deviation theory with basic statistical mechanics, namely Gibbs measures with their...

In the period since the first edition was published, I have appreciated the corre­ spondence from all parts of the world expressing thanks for the presentation of statistics from a user's perspective. It has been particularIy pleasing to have been...

Sorry no description is available for this book at this time.

Sorry no description is available for this book at this time.

Sorry no description is available for this book at this time.

Sorry no description is available for this book at this time.

Sorry no description is available for this book at this time.

Machine learning has become a cornerstone of modern data-driven science and technology. For mathematics students and researchers, understanding the mathematical foundations behind machine learning is essential, even if they never work directly with...

How dangerous is our diet? How much of sports falls into the realm of luck? When authorities categorize a given event as “highly likely”—how likely is that, really? Whether we’re trying to decide if the benefits of a new medication are worth the chance...

Sorry no description is available for this book at this time.

Sorry no description is available for this book at this time.

Bayesian statistics and statistical practice have evolved over the years, driven by advancements in theory, methods, and computational tools. This book explores the intricate workflows of applied Bayesian statistics, aiming to uncover the tacit knowledge...

This book is a useful overview of results in multivariate probability distributions and multivariate analysis as well as a reference to harmonic analysis on symmetric cones adapted to the needs of researchers in analysis and probability theory.Book...

The De Gruyter Series in Probability and Stochastics is devoted to the publication of high-level monographs and specialized graduate texts in any branch of modern probability theory and stochastics, along with their numerous applications in other parts...

The emergence of DeepSeek revealed a profound shift in artificial intelligence. This book uses that moment as a lens to show what happens when efficiency begins to matter more than raw scale, and how that change reshapes business, software, and global...

This book covers the basic probability of distributions with an emphasis on applications from the areas of investments, insurance, and engineering. Written by a Fellow of the Casualty Actuarial Society and the Society of Actuaries with many years of...

This book provides a concise account of four components of regression and smoothing methods: linear regression, generalized linear models, spline and kernel methods, and generalized linear mixed models. By bringing together parametric regression and...

This comprehensive modern look at regression covers a wide range of topics and relevant contemporary applications, going well beyond the topics covered in most introductory books. With concision and clarity, the authors present linear regression,...

This book accompanies the reader from the simple, standard Poisson process to its more complex transformations, using a unified framework, showing proofs of basic theorems and references to more difficult results.The reader will also benefit from the...

This volume is a collection of lecture notes for six of the ten courses given in Buzios, Brazil by prominent probabilists at the 2010 Clay Mathematics Institute Summer School, ``Probability and Statistical Physics in Two and More Dimensions'' and at the...

In recent years, statistical mechanics has been increasingly recognized as a central domain of mathematics. Major developments include the Schramm - Loewner evolution, which describes two-dimensional phase transitions, random matrix theory,...

Interest in multilevel statistical models for social science and public health studies has been aroused dramatically since the mid-1980s. New multilevel modeling techniques are giving researchers tools for analyzing data that have a hierarchical or...

No detailed description available for "Analytic Methods of Probability Theory".Book InformationISBN 9783112751206Author H.-J. RossbergFormat HardbackPage Count 312Imprint De GruyterPublisher De GruyterWeight(grams) 707g

Uniquely combining theory, application, and computing, this bookexplores the spectral approach to time series analysis The use of periodically correlated (or cyclostationary)processes has become increasingly popular in a range of researchareas such as...

This monograph discusses statistics and risk estimates applied to radiation damage under the presence of measurement errors. The first part covers nonlinear measurement error models, with a particular emphasis on efficiency of regression parameter...

This textbook provides a broad and solid introduction to mathematical statistics, including the classical subjects hypothesis testing, normal regression analysis, and normal analysis of variance. In addition, non-parametric statistics and vectorial...

This textbook, now in its second revised and extended edition, presents the fundamental ideas and results of both probability theory and statistics. It comprises the material of a one-year course, which is addressed to students of mathematics and to...