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Probability with applications in R /

"A good probability book at the undergraduate level should develop proper problem-solving skills and mathematical maturity; contain a nice mix of theory and application; and be useful in numerous client disciplines (such as computer science, economics, and engineering). It should be written by...

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Bibliografiske detaljer
Hovedforfatter:	Dobrow, Robert P.
Format:	Electronisk eBog
Sprog:	engelsk
Udgivet:	Hoboken, New Jersey : John Wiley & Sons, Inc., [2014]
Fag:	Probabilities > Data processing. R (Computer program language) Electronic books.
Online adgang:	An electronic book accessible through the World Wide Web; click to view
Tags:	Tilføj Tag Ingen Tags, Vær først til at tagge denne postø!

Lignende værker

Beginning R the statistical programming language /
af: Gardener, Mark
Udgivet: (2012)

The art of R programming a tour of statistical software design /
af: Matloff, Norman S.
Udgivet: (2011)

R for data science : learn and explore the fundamentals of data science with R /
af: Toomey, Dan
Udgivet: (2014)

Statistical analysis with R beginner's guide /
af: Quick, John M.
Udgivet: (2010)

A course in statistics with R /
af: Tattar, Prabhanjan, 1979-, et al.
Udgivet: (2016)

Data manipulation with R : perform group-wise data manipulation and deal with large datasets using R efficiently and effectively /
af: Abedin, Jaynal
Udgivet: (2014)

Learning data mining with R : develop key skills and techniques with R to create and customize data mining algorithms /
af: Makhabel, Bater
Udgivet: (2015)

R for dummies /
af: De Vries, Andrie, et al.
Udgivet: (2015)

An introduction to bootstrap methods with applications to R /
af: Chernick, Michael R., et al.
Udgivet: (2011)

Big data analytics with R and Hadoop /
af: Prajapati, Vignesh
Udgivet: (2013)

R high performance programming : overcome performance difficulties in R with a range of exciting techniques and solutions /
af: Lim, Aloysius, et al.
Udgivet: (2015)

Instant heat maps in R how-to learn how to design heat maps in R to enhance your data analysis /
af: Raschka, Sebastian
Udgivet: (2013)

The essential R reference
af: Gardener, Mark
Udgivet: (2013)

R data visualization cookbook : over 80 recipes to analyze data and create stunning visualizations with R /
af: Gohil, Atmajitsinh
Udgivet: (2015)

R statistical application development by example beginner's guide
af: Tattar, Prabhanjan Narayanachar
Udgivet: (2013)

Understanding and applying basic statistical methods using R /
af: Wilcox, Rand R.
Udgivet: (2017)

Introduction to stochastic processes with R /
af: Dobrow, Robert P.
Udgivet: (2016)

R graphs cookbook detailed hands-on recipes for creating the most useful types of graphs in R-- starting from the simplest versions to more advanced applications /
af: Mittal, Hrishi V.
Udgivet: (2011)

R graphs cookbook : over 70 recipes for building and customizing publication-quality visualization of powerful and stunning R graphs /
af: Abedin, Jaynal, et al.
Udgivet: (2014)

Statistics and probability and their applications /
af: Brockett, Patrick
Udgivet: (1984)

Statistics : an introduction using R /
af: Crawley, Michael J.
Udgivet: (2014)

Statistics : an introduction using R /
af: Crawley, Michael J.
Udgivet: (2015)

Introduction to probability and statistics : introduction to probability and statistics /
af: Mendenball, William
Udgivet: (1987)

Applied statistics and probability for engineers /
af: Montgomery, Douglas C.
Udgivet: (2003)

Introduction to probability and statistics /
af: Mendenhall, William
Udgivet: (1979)

Introduction to probability and statistics /
af: Lindgren, B. W. (Bernard William), 1924-
Udgivet: (1966)

Basic data analysis for time series with R /
af: Derryberry, DeWayne R.
Udgivet: (2014)

Introduction to probability and statistics /
af: Mendenhall, William
Udgivet: (2013)

Introduction to probability and statistics /
af: Mendenhall, William
Udgivet: (2009)

Data mining applications with R /
af: Zhao, Yanchang, 1977-
Udgivet: (2014)

R and data mining examples and case studies /
af: Zhao, Yanchang
Udgivet: (2013)

Statistical methods for hospital monitoring with R
Udgivet: (2013)

Statistical methods and computer applications
af: Arora, P. N.
Udgivet: (2009)

Automated data collection with R : a practical guide to web scraping and text mining /
af: Munzert, Simon
Udgivet: (2015)

The Stata survival manual
af: Pevalin, David J.
Udgivet: (2009)

Business analytics and data mining with R
af: Ledolter, Johannes
Udgivet: (2013)

Using R for statistics /
af: Stowell, Sarah
Udgivet: (2014)

Statistics with JMP : graphs, descriptive statistics and probability /
af: Goos, Peter, et al.
Udgivet: (2015)

Spatial and spatio-temporal Bayesian models with R-INLA /
af: Blangiardo, Marta, et al.
Udgivet: (2015)

Bioinformatics with R cookbook : over 90 practical recipes for computational biologists to model and handle real-life data using R /
af: Sinha, Paurush Praveen
Udgivet: (2014)