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ENGLISH

Nonparametric Inference

by Anton Schick, Hira L. Koul e Palaniappan Vellaisamy

~~131,12€~~ 91,78€ 30% OFF

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 Provides a comprehensive and balanced treatment of both classical and modern methods in nonparametric inference. It begins with foundational topics such as order statistics, ranks, and confidence intervals for medians and percentiles, before progressing to distribution-free tests, robust estimators, regression quantiles, and U-statistics.
ENGLISH

Markov Chain Monte Carlo - Stochastic Simulation For Bayesian Inference

by Dani Gamerman, Flavio Bambirra Goncalves e Hedibert F. Lopes

~~81,10€~~ 56,77€ 30% OFF

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 Marking a pivotal moment in the evolution of Bayesian inference, the third edition of this seminal textbook on Markov Chain Monte Carlo (MCMC) methods reflects the profound transformations in both the field of Statistics and the broader landscape of data science over the past two decades.
ENGLISH

Markov Chain Monte Carlo - Stochastic Simulation For Bayesian Inference

by Dani Gamerman, Flavio Bambirra Goncalves e Hedibert F. Lopes

~~209,54€~~ 146,68€ 30% OFF

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 Marking a pivotal moment in the evolution of Bayesian inference, the third edition of this seminal textbook on Markov Chain Monte Carlo (MCMC) methods reflects the profound transformations in both the field of Statistics and the broader landscape of data science over the past two decades.
ENGLISH

Foundations Of Bayesian Statistics For Data Scientists - With R And Python

by Alan Agresti, Antonietta (Universita Della Svizzera Italiana Campus Est) Mira, Maria Kateri e Ranjini Grove

~~81,10€~~ 56,77€ 30% OFF

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 This book is an overview of the Bayesian approach to applying the most important inferential methods of statistical science. It is designed as a textbook for advanced undergraduate and masterâ€™s students in Data Science, Statistics, or Mathematics who are interested in learning about Bayesian statistics.
ENGLISH

Foundations Of Bayesian Statistics For Data Scientists - With R And Python

by Alan Agresti, Antonietta (Universita Della Svizzera Italiana Campus Est) Mira, Maria Kateri e Ranjini Grove

~~202,78€~~ 141,95€ 30% OFF

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 This book is an overview of the Bayesian approach to applying the most important inferential methods of statistical science. It is designed as a textbook for advanced undergraduate and masterâ€™s students in Data Science, Statistics, or Mathematics who are interested in learning about Bayesian statistics.
ENGLISH

Survival Analysis - Principles And Applications In Clinical Trials And Beyond

~~128,42€~~ 89,89€ 30% OFF

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 Survival Analysis provides an up-to-date and reader-friendly account of topics progressing from the log-rank test, stratified analysis and Cox regression to more advanced analyses. This book provides an exposition of both theory and practical applications of survival analysis, covering traditional topics and more recent advancements.
ENGLISH

Experimental Design For Data Science And Engineering

by V. Roshan (Georgia Institute Of Technology) Joseph

~~128,42€~~ 89,89€ 30% OFF

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 This book describes efficient statistical methods for making the experiments cheaper and computations faster for extracting valuable information from data and help identify discrepancies in the theory. It also includes recent advances in experimental designs for dealing with large amounts of observational data.
ENGLISH

Bayesian Statistical Methods - With Applications To Machine Learning

by Brian J. (N.C. State University) Reich e Sujit K. Ghosh

~~128,42€~~ 89,89€ 30% OFF

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 This book provides data scientists with the foundational and computational tools needed to carry out a Bayesian analysis. Compared to others, it is more focused on Bayesian methods applied routinely in practice including multiple linear regression, mixed effects models and generalized linear models.
ENGLISH

Time Series - A Data Analysis Approach Using R

by David S. (Department Of Statistics University Of Pittsburgh 1826 Wesley W.) Stoffer e Robert H. Shumway

~~97,32€~~ 68,12€ 30% OFF

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 The goals of the 2nd edition are to develop the skills and an appreciation for the versatility of modern time series analysis as a tool for analyzing dependent data. This edition emphasizes a variety of methodological techniques to illustrate solutions to data analysis problems.
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Time Series - A Data Analysis Approach Using R

by David S. (Department Of Statistics University Of Pittsburgh 1826 Wesley W.) Stoffer e Robert H. Shumway

~~263,62€~~ 184,53€ 30% OFF

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 The goals of the 2nd edition are to develop the skills and an appreciation for the versatility of modern time series analysis as a tool for analyzing dependent data. This edition emphasizes a variety of methodological techniques to illustrate solutions to data analysis problems.
ENGLISH

Statistics In Survey Sampling

by Jae Kwang Kim

~~118,95€~~ 83,27€ 30% OFF

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 Offers a comprehensive and rigorous introduction to the principles and practices of survey sampling, bridging the gap between statistical theory and real-world data collection.
ENGLISH

Exercises In Statistical Reasoning

by Beatrice Cantoni, Bernardo Flores-Lopez, Michael R. Schwob, Stephen G. Walker e Yunshan Duan

~~75,51€~~ 67,96€ 10% OFF

 Exercises designed to strengthen creative problem-solving skills, designed to encourage readers to understand the key points of a problem while seeking knowledge, rather than separating out these two activities. To complete the exercises, readers may need to reference the literature, which is how research-based knowledge is often acquired.
ENGLISH

Exercises In Statistical Reasoning

by Beatrice Cantoni, Bernardo Flores-Lopez, Michael R. Schwob, Stephen G. Walker e Yunshan Duan

~~75,51€~~ 67,96€ 10% OFF

 Exercises designed to strengthen creative problem-solving skills, designed to encourage readers to understand the key points of a problem while seeking knowledge, rather than separating out these two activities. To complete the exercises, readers may need to reference the literature, which is how research-based knowledge is often acquired.
ENGLISH

Linear Models With R

by Julian J. Faraway

~~111,29€~~ 100,16€ 10% OFF

 Linear Models with R, Third Edition explains how to use linear models in physical science, engineering, social science, and business applications. The book incorporates several improvements that reflect how the world of R has expanded since the publication of the second edition.
ENGLISH

Linear Models With R

by Julian J. Faraway

~~111,29€~~ 100,16€ 10% OFF

 Linear Models with R, Third Edition explains how to use linear models in physical science, engineering, social science, and business applications. The book incorporates several improvements that reflect how the world of R has expanded since the publication of the second edition.
ENGLISH

Applied Nonparametric Statistical Methods

by Neil H. Spencer, Nigel Smeeton e Peter Sprent

~~119,24€~~ 107,32€ 10% OFF

 A comprehensive course text in nonparametric techniques suitable for undergraduate mathematics students. Assumes only basic experience of statistics with algebra kept to a minimum. Ideal for quantitative methods modules delivered to undergraduate or postgrad students in science, business, and health service training.
ENGLISH

Applied Nonparametric Statistical Methods

by Neil H. Spencer, Nigel Smeeton e Peter Sprent

~~119,24€~~ 107,32€ 10% OFF

 A comprehensive course text in nonparametric techniques suitable for undergraduate mathematics students. Assumes only basic experience of statistics with algebra kept to a minimum. Ideal for quantitative methods modules delivered to undergraduate or postgrad students in science, business, and health service training.
Exercises And Solutions In Probability And Statistics

by Gary Smith

~~168,98€~~ 118,29€ 30% OFF

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 Hundreds of engaging, class-tested statistics exercises with solutions that test student understanding of the material. Many of which are educational in their own rightâ€"for example, stocks that are deleted from the Dow Jones Industrial Average generally do better than the stocks that replaced them.
ENGLISH

Beyond Anova - Basics Of Applied Statistics

by Rupert G. Miller Jr.

225,25€ + 10% CARD

 This is a reissue of the book by statistician R.G. Miller. The text has proved useful in understanding the level of the subject of applied statistics and includes numerous exericises.
ENGLISH

Statistics In Research And Development

by R. Caulcutt

90,09€ + 10% CARD

 This book covers experimental design and the more advanced techniques of data analysis which can be used to assess performance, to compare methods and to control quality. It is useful to anyone concerned with the development or the management of complex processes in any industry.
ENGLISH

Stationary Stochastic Processes - Theory And Applications

by Georg Lindgren

139,13€ + 10% CARD

 Intended for a second course in stationary processes, Stationary Stochastic Processes: Theory and Applications presents the theory behind the field''s widely scattered applications in engineering and science. In addition, it reviews sample function properties and spectral representations for stationary processes and fields, including a portion on st
ENGLISH

Exercises And Solutions In Statistical Theory

by Brian. H Neelon, Lawrence L. Kupper e Sean M. O'Brien

90,09€ + 10% CARD

 Exercises and Solutions in Statistical Theory helps students and scientists obtain an in-depth understanding of statistical theory by working on and reviewing solutions to interesting and challenging exercises of practical importance. Unlike similar books, this text incorporates many exercises that apply to real-world settings and provides much mor
ENGLISH

Modelling Binary Data

by David Collett

139,13€ + 10% CARD

 A practical guide to statistical methods which reflects developments in the field. It includes a chapter introducing mixed models for binary data analysis and another on methods for modelling binary data. It also includes material on modelling ordered categorical data and provides a summary of the leading software packages.
ENGLISH

Introduction To Probability With R

by Kenneth Baclawski

66,24€ + 10% CARD

 This text presents R programs and animations to provide an intuitive yet rigorous understanding of how to model natural phenomena from a probabilistic point of view. Each chapter includes a short biographical note about a contributor to probability theory, exercises, and selected answers. Ancillary material is accessible online.
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