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Books tags: statistical
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Python Data Science Handbook: Essential Tools for Working with Data
Python Data Science Handbook: Essential Tools for Working with Data

For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib,...

The Little SAS Book for Enterprise Guide 4.1
The Little SAS Book for Enterprise Guide 4.1
For over three decades, SAS software has been used by programmers, analysts, and scientists to manipulate and analyze data. Today, SAS (pronounced sass) is used around the world in 110 countries, at over 40,000 sites, by more than 4.5 million users. SAS users stay with SAS year after year because they know its broad flexibility and depth of...
Beginning R: An Introduction to Statistical Programming
Beginning R: An Introduction to Statistical Programming

Beginning R: An Introduction to Statistical Programming is a hands-on book showing how to use the R language, write and save R scripts, build and import data files, and write your own custom statistical functions. R is a powerful open-source implementation of the statistical language S, which was developed by AT&T. R has eclipsed...

Sas 9.2 Output Delivery System User's Guide
Sas 9.2 Output Delivery System User's Guide
New and enhanced features in the Output Delivery System (ODS) provide an almost limitless number of choices for reporting and displaying analytical results with a greater variety of formatting selections and output destinations.

 With ODS statements, you can use new ODS packages, measured RTF output, and enhanced inline formatting,...
Biometrics: Theory, Methods, and Applications (IEEE Press Series on Computational Intelligence)
Biometrics: Theory, Methods, and Applications (IEEE Press Series on Computational Intelligence)

An in-depth examination of the cutting edge of biometrics

This book fills a gap in the literature by detailing the recent advances and emerging theories, methods, and applications of biometric systems in a variety of infrastructures. Edited by a panel of experts, it provides comprehensive coverage of:

Computational Chemistry: Reviews of Current Trends
Computational Chemistry: Reviews of Current Trends
There is no doubt that many of the readers of this book series wonder how the research/computational facilities will look like in the near future. It seems that the efficiency and compactness of the silicon-based computers are almost exhausted, and for significant progress one has to look for alternative solutions. A very...
Problem Solving and Data Analysis Using Minitab: A Clear and Easy Guide to Six Sigma Methodology
Problem Solving and Data Analysis Using Minitab: A Clear and Easy Guide to Six Sigma Methodology

Six Sigma statistical methodology using Minitab

Problem Solving and Data Analysis using Minitab presents example-based learning to aid readers in understanding how to use MINITAB 16 for statistical analysis and problem solving. Each example and exercise is broken down into the exact steps that must be followed in...

Linear Mixed-Effects Models Using R: A Step-by-Step Approach
Linear Mixed-Effects Models Using R: A Step-by-Step Approach
Linear mixed-effects models (LMMs) are an important class of statistical models that can be used to analyze correlated data. Such data include clustered observations, repeated measurements, longitudinal measurements, multivariate observations, etc.

The aim of our book is to help readers in fitting LMMs using R...
Machine Learning: The Art and Science of Algorithms that Make Sense of Data
Machine Learning: The Art and Science of Algorithms that Make Sense of Data

As one of the most comprehensive machine learning texts around, this book does justice to the field's incredible richness, but without losing sight of the unifying principles. Peter Flach's clear, example-based approach begins by discussing how a spam filter works, which gives an immediate introduction to machine learning in action,...

Performing Data Analysis Using IBM SPSS
Performing Data Analysis Using IBM SPSS

Features easy-to-follow insight and clear guidelines to perform data analysis using IBM SPSS®
 

Performing Data Analysis Using IBM SPSS® uniquely addresses the presented statistical procedures with an example problem, detailed analysis, and the related data sets. Data entry procedures, variable naming,...

Learning Predictive Analytics with Python: Gain practical insights into predictive modelling by implementing Predictive Analytics algorithms on public datasets with Python
Learning Predictive Analytics with Python: Gain practical insights into predictive modelling by implementing Predictive Analytics algorithms on public datasets with Python

Gain practical insights into predictive modelling by implementing Predictive Analytics algorithms on public datasets with Python

About This Book

  • A step-by-step guide to predictive modeling including lots of tips, tricks, and best practices
  • Get to grips with the basics of Predictive...
Building Scalable Web Sites : Building, Scaling, and Optimizing the Next Generation of Web Applications
Building Scalable Web Sites : Building, Scaling, and Optimizing the Next Generation of Web Applications

Slow websites infuriate users. Lots of people can visit your
web site or use your web application - but you have to be prepared for
those visitors, or they won't come back. Your sites need to be built to
withstand the problems success creates.

Building Scalable Web...
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