Call Number (LC) Title Results
QA276.3 .W55 2005 The grammar of graphics / 2
QA276.3 .W55 2012 Visualizing time designing graphical representations for statistical data / 1
QA276.3 .Y18 2011eb Visualize this : the FlowingData guide to design, visualization, and statistics /
Visualize this the FlowingData guide to design, visualization, and statistics / 		4
QA276.3 .Y68 2006 Visual statistics : seeing data with dynamic interactive graphics /
Visual statistics seeing data with dynamic interactive graphics / 		2
QA276.4 Handbook of statistical analyses using stata, fourth edition.
120 quick Stata tips /
A gentle introduction to statistics using SAS® Studio in the cloud /
Strategies for formulations development : a step-by-step guide using JMP /
Practical statistics for data scientists : 50 essential concepts /
Dēta saiensu no tame no tōkeigaku nyūmon : yosoku, bunrui, tōkei moderingu, tōkeiteki kikai gakushū to R/Python puroguramingu /
Computational statistics handbook with MATLAB /
Statistical Models in S /
An introduction to statistical computing : a simulation-based approach /
Statistical Computing.
SAS 9.4 language reference : concepts.
Step-by-step programming with Base SAS 9.4.
Carpenter's complete guide to the SAS macro language /
JMP version 13 JSL syntax reference /
JMP version 13 profilers /
JMP version 13 reliability and survival methods /
JMP version 13 quality and process methods /
JMP start statistics : a guide to statistics and data analysis using JMP /
SAS certification prep guide : base programming for SAS 9.
SAS 9.4 intelligence platform : overview.
Smart Data Discovery Using SAS Viya
JMP : version 12 : discovering JMP.
Descriptive statistics, continuous.
Descriptive statistics, categorical.
Paired t-test.
Wilcoxon test.
Kruskal-wallis test.
Mann-Whitney U-test.
JMP version 12 : profilers.
Gnuplot in action : understanding data with graphs /
Statistical disclosure control for microdata : methods and applications in R /
The art of R programming : tour of statistical software design /
ESTADISTICA PRACTICA PARA CIENCIA DE DATOS CON R Y PYTHON
SAS 9.4 output delivery system : user's guide.
What is normal distribution in 3 Minutes?
The simple guide to SAS : from null to novice /
Base SAS 9.4 procedures guide.
Intelligence at the edge : using SAS with the Internet of Things /
Big data analytics with SAS : get actionable insights from your big data using the power of SAS /
In the know : SAS tips and techniques from around the globe /
Dynamic documents with R and knitr /
Infographics powered by SAS : data visualization techniques for business reporting /
Implementing CDISC using SAS : an end-to-end guide /
Basic statistics with R : reaching decisions with data /
JMP version 13 scripting guide /
Shu ju ke xue zhong de shi yong tong ji xue = Practical statistics for data scientists /
Handbook of statistics : computational statistics with R /
Using R for statistics /
Data science tools : R, Excel, KNIME & OpenOffice /
An introduction to SAS® university edition /
SAS 9. 4 Macro Language: Reference, Fourth Edition.
R Projects for dummies /
Developing credit risk models using SAS Enterprise Miner and SAS/STAT : theory and applications /
Data driven statistical methods /
A handbook of statistical analyses using S-PLUS /
What are P-values, null hypothesis, and alternative hypothesis in 3 minutes?
Exchanging data between SAS® and Microsoft Excel : tips and techniques to transfer and manage data more efficiently /
Getting started with SAS® programming : using SAS® Studio in the cloud /
Exchanging data from SAS to Excel : the ODS Excel destination /
SAS for finance : forecasting and data analysis techniques with real-world examples to build powerful financial models /
JMP version 12 : consumer research.
Clinical graphs using SAS /
SAS essentials : mastering SAS for data analytics /
PROC SQL : beyond the basics using SAS /
Great R.
SAS macro language magic : discovering advanced techniques /
Carpenter's guide to innovative SAS techniques /
PROC TABULATE by example /
SAS for linear models /
Complete SAS programming guide : learn SAS and become a data ninja.
Visual Data Insights Using SAS ODS Graphics : a Guide to Communication-Effective Data Visualization /
An introduction to statistics with Python with applications in the life sciences /
Statistics applied with Excel : data analysis is (not) an art /
Visual Data Insights Using SAS ODS Graphics a Guide to Communication-Effective Data Visualization /
JMP version 12 : using JMP.
A recipe for success using SAS University Edition : how to plan your first analytics project /
Discovering JMP 13.
Data scientists at work /
Political analysis using R /
DATA SCIENCE FOR SENSORY AND CONSUMER SCIENTISTS
An introduction to statistics with Python : with applications in the life sciences /
Applications in statistical computing : from music data analysis to industrial quality improvement /
Getting started with SAS Enterprise Miner 13.1 /
Using JMP 12 student edition for Windows and Macintosh : the user's guide to statistics with JMP 12 student edition.
SAS 9. 4 Language Reference: Concepts, Second Edition.
Introduction to statistics with SPSS : a guide to the processing, analysing and reporting of (research) data /
R programming : statistical data analysis in research /
SAS 9.4 SQL procedure : user's guide.
JMP version 12 : quality and process methods.
Elements of Simulation.
SAS certification prep guide : advanced programming for SAS 9.
SAS 9.4 ODS graphics procedures guide.
The data science design manual /
Associations and Correlations : Unearth the Powerful Insights Buried in Your Data /
Applied statistics handbook of GENSTAT analysis /
SAS encoding : understanding the details /
COMPSTAT proceedings in computational statistics : 17th symposium held in Rome, Italy, 2006 /
Basic elements of computational statistics /
Computer intensive methods in statistics /
Data analysis using SAS
JMP for basic univariate and multivariate statistics : methods for researchers and social scientists /
Core data analysis : summarization, correlation, and visualization /
Jump into JMP Scripting /
Statistics and mathematics for data science and data analytics.
Applied statistics with SPSS /
Statistical analysis and data display : an intermediate course with examples in R /
Dēta saiensu sekkei manyuaru /
Statistical programming in SAS /
Building regression models with SAS : a guide for data scientists /
Statystyka praktyczna w data science : 50 kluczowych zagadnień w językach R i Python /
SAS PROGRAMMING the one-day course.
Data analysis plans : a blueprint for success using SAS / 		137
QA276.4 .A236 2017 Using Statistics in the Social and Health Sciences with SPSS and Excel. 1
QA276.4 .A28 2008 Advances in Mathematical and Statistical Modeling 1
QA276.4 .A29 2000 Advances in stochastic simulation methods / 1
QA276.4 .A34 1994 AI and computer power / 1
QA276.4 .A36 2006 A gentle introduction to Stata / 1
QA276.4 .A38 2008 Advances in Mathematical and Statistical Modeling / 1
QA276.4 .A38 2015 Advances in complex data modeling and computational methods in statistics / 1
QA276.4 .A394 1995 Survival analysis using SAS : a practical guide / 1
QA276.4 .A394 2010eb Survival analysis using SAS : a practical guide / 2
QA276.4 .A398 2004 Numerical issues in statistical computing for the social scientist / 1
QA276.4 .A398 2004eb Numerical issues in statistical computing for the social scientist /
Numerical issues in statistical computing for the social scientist 		2
QA276.4 .A4 1982 An introduction to Genstat / 1
QA276.4 .A44 2000 Symbolic computation for statistical inference / 1
QA276.4 .A45 Computing in statistical science through APL / 2
QA276.4 .A53 2013 Intelligent routines solving mathematical analysis with Matlab, Mathcad, Mathematica and Maple / 1