2019

Advanced R statistical programming and data models : analysis, machine learning, and visualization

Wiley, Matt, author.

[California, CA] : Apress, [2019]

 

2019

Advanced R statistical programming and data models : analysis, machine learning, and visualization

Wiley, Matt, author.

[Berkeley, CA] : Apress, 2019

 

2020

Advanced SQL with SAS

Schendera, Christian F. G.



 

2020

Advanced statistics with applications in R

Demidenko, Eugene, 1948- author.

Hoboken, NJ : Wiley, 2020

 

2010

Advances in intelligent data analysis IX : 9th international symposium, IDA 2010, Tucson, AZ, USA, May 19-21, 2010 : proceedings

International Symposium on Intelligent Data Analysis (9th : 2010 : Tucson, Ariz.)



 

2005

Advances in intelligent data analysis VI : 6th International Symposium on Intelligent Data Analysis, IDA 2005, Madrid, Spain, September 8-10, 2005 : proceedings

International Symposium on Intelligent Data Analysis (6th : 2005 : Madrid, Spain)



 

2007

Advances in intelligent data analysis VII : 7th International Symposium on Intelligent Data Analysis, IDA 2007, Ljubljana, Slovenia, September 6-8, 2007 : proceedings

International Symposium on Intelligent Data Analysis (7th : 2007 : Ljubljana, Slovenia)



 

2009

Advances in intelligent data analysis VIII : 8th International Symposium on Intelligent Data Analysis, IDA 2009, Lyon, France, August 31 - September 2, 2009 ; proceedings

International Symposium on Intelligent Data Analysis (8th : 2009 : Lyon, France)



 

2011

Advances in intelligent data analysis X : 10th international symposium, IDA 2011, Porto, Portugal, October 29-31, 2011 : proceedings

International Symposium on Intelligent Data Analysis (10th : 2011 : Porto, Portugal)



 

2012

Advances in intelligent data analysis XI : 11th international symposium, IDA 2012, Helsinki, Finland, October 25-27, 2012 : proceedings

International Symposium on Intelligent Data Analysis (11th : 2012 : Helsinki, Finland)



 

2013

Advances in intelligent data analysis XII : 12th International Symposium, IDA 2013, London, UK, October 17-19, 2013. Proceedings

International Symposium on Intelligent Data Analysis (12th : 2013 : London, England)

Heidelberg : Springer, 2013

 

2014

Advances in intelligent data analysis XIII : 13th International Symposium, IDA 2014, Leuven, Belgium, October 30-November 1, 2014. Proceedings

International Symposium on Intelligent Data Analysis (13th : 2014 : Leuven, Belgium)

Cham : Springer, 2014

 

2015

Advances in Intelligent Data Analysis XIV : 14th International Symposium, IDA 2015, Saint Etienne. France, October 22 -24, 2015. Proceedings

International Symposium on Intelligent Data Analysis (14th : 2015 : Saint-Étienne, Loire, France)

Cham : Springer, 2015

 

2021

Advances in intelligent data analysis XIX : 19th International Symposium on Intelligent Data Analysis, IDA 2021, Porto, Portugal, April 26-28, 2021 : proceedings

International Symposium on Intelligent Data Analysis (19th : 2021 : Online)

Cham : Springer, [2021]

 

2016

Advances in intelligent data analysis XV : 15th International Symposium, IDA 2016, Stockholm, Sweden, October 13-15, 2016, Proceedings

International Symposium on Intelligent Data Analysis (15th : 2016 : Stockholm, Sweden)

Cham, Switzerland : Springer, 2016

 

2017

Advances in intelligent data analysis XVI : 16th International Symposium, IDA 2017, London, UK, October 26-28, 2017, Proceedings

International Symposium on Intelligent Data Analysis (16th : 2017 : London, England)

Cham, Switzerland : Springer, 2017

 

2018

Advances in intelligent data analysis XVII : 17th International Symposium, IDA 2018, 's-Hertogenbosch, the Netherlands, October 24-26, 2018, Proceedings

International Symposium on Intelligent Data Analysis (17th : 2018 : 's-Hertogenbosch, Netherlands)

Cham, Switzerland : Springer, 2018

 

2020

Advances in intelligent data analysis XVIII : 18th International Symposium on Intelligent Data Analysis, IDA 2020, Konstanz, Germany, April 27-29, 2020, Proceedings

International Symposium on Intelligent Data Analysis (18th : 2020 : Konstanz, Germany)

Cham : Springer, 2020

 

2022

Advances in intelligent data analysis XX : 20th International Symposium on Intelligent Data Analysis, IDA 2022, Rennes, France, April 20-22, 2022 : proceedings

International Symposium on Intelligent Data Analysis (20th : 2022 : Rennes, France)

Cham : Springer, [2022]

 

2023

Advances in intelligent data analysis XXI : 21st International Symposium on Intelligent Data Analysis, IDA 2023, Louvain-la-Neuve, Belgium, April 12-14, 2023, Proceedings

International Symposium on Intelligent Data Analysis (21st : 2023 : Louvain-la-Neuve, Belgium)

Cham : Springer, 2023

 

2008

Advances in Mathematical and Statistical Modeling

 

1999

Amos 4.0 user's guide

Arbuckle, James, 1959- author

Chicago, Ill. : Marketing Department, SPSS Inc. : SmallWaters Corporation, [1999]

Request It 

2003

Amos 5.0 Update to the Amos user's guide

Arbuckle, James, 1959-

Chicago, Ill. : Marketing Dept., SPSS Inc., [2003]

Request It 

2018

Analysis of Correlated Data with SAS and R, Fourth Edition

Shoukri, Mohamed M
4th ed


 

2009

Analyzing and interpreting continuous data using JMP : a step-by-step guide

Ramírez, José G



 

2013

Analyzing compositional data with R

Boogaart, K. Gerald van den.



 

2023

Applications in reliability and statistical computing

Cham, Switzerland : Springer, [2023]

 

2014

Applied psychometrics using SAS

Finch, W. Holmes (William Holmes), author.

Charlotte, North Carolina : IAP, [2014]

 

1987

Applied statistics and the SAS programming language

Cody, Ronald P.
Second edition
New York : North-Holland, [1987]

Request It 

2007

Applied statistics : using SPSS, Statistica, MATLAB, and R

Sá, J. P. Marques de, 1946-
2nd ed


 

2022

Artificial intelligence, big data and data science in statistics : challenges and solutions in environmetrics, the natural sciences and technology

 

2013

Base SAS 9.4 procedures guide

Second edition
Cary, N.C. : SAS Institute Inc., 2013

 

2015

Base SAS 9.4 procedures guide

Fifth edition
Cary, NC : SAS Institute, [2015]

 

2014

Base SAS 9.4 procedures guide

Third edition
Cary, N.C. : SAS Institute Inc., 2014

 

2015

Base SAS 9.4 Procedures Guide, Fourth Edition, 4th Edition

Institute, SAS, author
4th edition
[Place of publication not identified] : SAS Institute, 2015

 

2013

Basic statistics : an introduction with R

Raykov, Tenko, author

Lanham : Rowman and Littlefield Publishers, Incorporated, [2013]

 

2021

Basic statistics with R : reaching decisions with data

Loftus, Stephen C

London : Academic Press, 2021

 

2016

Basics of matrix algebra for statistics with R

Fieller, N. R. J., author.

Boca Raton : CRC Press, Taylor & Francis Group, [2016]

 

2002

The basics of S-Plus

Krause, Andreas.
Third edition
New York : Springer, [2002]

Request It 

2005

The basics of S-Plus

Krause, Andreas
4th ed


 

2022

Bayes Factors for Forensic Decision Analyses with R

Bozza, Silvia. author.
1st ed. 2022
Cham : Springer International Publishing : Imprint: Springer, 2022

 

2018

Bayesian disease mapping : hierarchical modeling in spatial epidemiology

Lawson, Andrew (Andrew B.), author.
Third edition
Boca Raton, Florida : CRC Press, Taylor and Francis Group, [2018]

 

2015

Building better models with JMP Pro

Grayson, Jim

Cary, NC : SAS Institute Inc., [2015]

 

1993

Business mathematics and statistics

Waxman, Peter, 1947-
Third edition
New York ; Sydney : Prentice Hall, [1993]

Request It 

1998

Business mathematics & statistics

Waxman, Peter, 1947- author
Fourth edition
Sydney : Prentice Hall, 1998

Request It 

1990

Business mathematics and statistics : with calculator and computer applications

Waxman, Peter, 1947-
Second edition
New York ; Sydney : Prentice Hall, [1990]

Request It 

2019

Business statistics with solutions in R

Akinkunmi, Mustapha, author.

Berlin ; Boston : De Gruyter, [2019]

 

2013

Carpenter's Complete Guide to the SAS REPORT Procedure

Carpenter, Art



 

2012

Categorical data analysis using SAS

Stokes, Maura Ellen.
3rd ed


 

2000

Categorical data analysis using the SAS system

Stokes, Maura Ellen
2nd ed