Surrogates : Gaussian process modeling, design, and optimization for the applied sciences /

Large deviations for Gaussian queues : modelling communication networks /
by: Mandjes, Michel (Michael Robertus Hendrikus), 1970-
Published: (2007)

An R companion to applied regression /
by: Fox, John, 1947-, et al.
Published: (2019)

Régression avec R /
by: Cornillon, Pierre-André
Published: (2011)

Peer review of EPA's response surface equation report : final report /
Published: (2018)

Generalized additive models : an introduction with R /
by: Wood, Simon N.
Published: (2017)

Level sets and extrema of random processes and fields /
by: Azaïs, Jean-Marc, 1957-
Published: (2009)

A modern approach to regression with R /
by: Sheather, Simon J.
Published: (2008)

Sufficient dimension reduction : methods and applications with R /
by: Li, Bing, 1960-
Published: (2018)

Regression models for categorical, count, and related variables : an applied approach /
by: Hoffmann, John P. (John Patrick), 1962-
Published: (2016)

An introduction to generalized linear models /
by: Dunteman, George H. (George Henry), 1935-
Published: (2006)

Nonlinear regression modeling for engineering applications : modeling, model validation, and enabling design of experiments /
by: Rhinehart, R. Russell, 1946-
Published: (2016)

Response surfaces, mixtures, and ridge analyses /
by: Box, George E. P.
Published: (2007)

Wiener chaos : moments, cumulants and diagrams, a survey with computer implementation /
by: Peccati, Giovanni, 1975-
Published: (2011)

Modern optimization with R /
by: Cortez, Paulo
Published: (2014)

Nonlinear regression with R /
by: Ritz, Christian
Published: (2008)

Using R for item response theory model applications /
by: Paek, Insu (Professor of measurement and statistics), et al.
Published: (2020)

Statistical data cleaning with applications in R /
by: Loo, Mark van der, 1976-, et al.
Published: (2018)

Learning statistics using R /
by: Schumacker, Randall E.
Published: (2014)

R projects /
by: Schmuller, Joseph
Published: (2018)

Beginning data science with R /
by: Pathak, Manas A.
Published: (2014)

A survivor's guide to R : an introduction for the uninitiated and the unnerved /
by: Gaubatz, Kurt Taylor
Published: (2015)

A first course in statistical programming with R /
by: Braun, John, 1963-
Published: (2016)

Introductory statistics with R /
by: Dalgaard, Peter
Published: (2008)

Robust nonlinear regression : with applications using R /
by: Riazoshams, Hossein, 1971-, et al.
Published: (2019)

The generic chaining : upper and lower bounds of stochastic processes /
by: Talagrand, Michel, 1952-
Published: (2005)

The new statistics with R : an introduction for biologists /
by: Hector, Andy
Published: (2021)

Getting started with R : an introduction for biologists /
by: Beckerman, Andrew P., et al.
Published: (2017)

Insights from data with R : an introduction for the life and environmental sciences /
by: Petchey, Owen L., et al.
Published: (2021)

The R primer /
by: Ekstrøm, Claus Thorn, 1971-
Published: (2017)

Foundations and applications of statistics : an introduction using R /
by: Pruim, Randall J.
Published: (2018)

Statistics and data with R : an applied approach through examples /
by: Cohen, Yosef, 1946-
Published: (2008)

Software for data analysis : programming with R /
by: Chambers, John M.
Published: (2008)

An introduction to applied multivariate analysis with R /
by: Everitt, Brian
Published: (2011)

Project-based R companion to introductory statistics /
by: Myers, Chelsea
Published: (2021)

Advanced R Solutions /
by: Grosser, Malte, et al.
Published: (2022)

Data Analysis and Graphics Using R : An Example-Based Approach /
by: Maindonald, John, et al.
Published: (2010)