Applied statistics : using SPSS, STATISTICA, MATLAB and R.

QR Code

Applied statistics : using SPSS, STATISTICA, MATLAB and R.

Bibliographic Details
Main Author:	Sá, Joaquim P. Marques de, 1946-
Format:	Book
Language:	English
Published:	Berlin : Springer-Verlag, 2007.
Edition:	2. ed.
Subjects:	ESTADISTICA MATEMATICAS PROCESAMIENTO DE INFORMACION R (LENGUAJES DE PROGRAMACIÓN)

Similar Items

Statistics : an introduction using R. /
by: Crawley, Michael J.
Published: (2005)

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

Statistics (the easier way) with R /
by: Radziwill, Nicole M.,
Published: (2016)

Basics of matrix algebra for statistics with R /
by: Fieller, N. R. J.,
Published: (2016)

A handbook of statistical analyses using R /
by: Hothorn, Torsten, 1975- ,
Published: (2014)

Statistical computing with R.
by: Rizzo, María L.
Published: (2008)

Computational statistics with R /
Published: (2014)

A first course in statistical programming with R /
by: Braun, W.John
Published: (2007)

A handbook of statistical analyses using R /
by: Everitt, Brian S., et al.
Published: (2010)

Probability and statistics with R /
by: Dolores Ugarte, María
Published: (2008)

Applied multivariate statistics with R /
by: Zelterman, Daniel,
Published: (2022)

Statistical inference via data science : a moderndDive into R and the tidyverse /
by: Ismay, Chester Ivan,
Published: (2020)

Statistics for linguists : an introduction using R /
by: Winter, Bodo,
Published: (2020)

Learning R /
by: Cotton, Richard,
Published: (2013)

Applied spatial data analysis with R /
by: Bivand, Roger S., et al.
Published: (2008)

Applied spatial data analysis with R /
by: Bivand, Roger S., et al.
Published: (2013)

An R and S-PLUS : companion to multivariate analysis.
by: Everitt, Brian S.
Published: (2007)

Discovering statistics using R /
by: Field, Andy,
Published: (2012)

Applied spatial data analysis with R /
by: Bivand, Roger,
Published: (2013)

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

An R companion to applied regression /
by: Fox, John 1947-, et al.
Published: (2011)

A tiny handbook of R /
by: Allerhand, Mike
Published: (2011)

A beginner's guide to R. /
by: Zuur, Alain F.
Published: (2009)

Hands-on programming with r /
by: Grolemund, Garrett
Published: (2014)

Spatial data science : with applications in R /
by: Pebesma, Edzer J.,
Published: (2023)

Introducción a la estadística descriptiva con R /
by: Aguilar Fernández, Eduardo,
Published: (2020)

Structural equation modeling using R/SAS : a step-by-step approach with real data analysis /
by: Chen, Ding-Geng,
Published: (2024)

Applied statistics and the SAS programming language /
by: Cody, Ronald P., et al.
Published: (2006)

Statistical computation for environmental sciences in R : lab manual for models for ecological data. /
by: Clark, James Samuel, 1957-
Published: (2007)

Applied statistics and the SAS programming language /
by: Cody, Ronald P., et al.
Published: (1987)

The R book /
by: Crawley, Michael J.
Published: (2013)

Applied statistics using stata : a guide for the social sciences /
by: Mehmetoglu, Mehmet,
Published: (2017)

Applied statistics /
by: Neter, John, et al.
Published: (1978)

Research design and statistics for applied linguistics
by: Hatch, Evelyn
Published: (1982)

Statistical rethinking : a Bayesian course with examples in R and Stan /
by: McElreath, Richard 1973-
Published: (2020)

Practical time series analysis : prediction with statistics and machine learning /
by: Nielsen, Aileen,
Published: (2020)

Applied statistics for engineers
by: Volk, William, et al.
Published: (1958)

Applied statistical techniques
by: Stoodley, Keith David Charles
Published: (1980)

Practical statistics for data scientists : 50+ essential concepts using R and Python /
by: Bruce, Peter C. 1953-
Published: (2020)

Introduction to probability with R.
by: Baclawski, Kenneth
Published: (2008)