Learn IT - Books tags logistic

Deterministic and Random Evolution (Mathematics Research Developments)

Nova Science Pub Inc, 2013

The first notes for this text were written during the summers of 2008–2010 when I taught a short course on mathematical modeling at the University of New Mexico. The audience consisted mostly of undergraduate mathematics students, and an aim of the course was to interest them in math at the graduate level.

The...

SAS/STAT 9.1 User's Guide, Volumes 1-7

Sams Publishing, 2004

SAS/STAT software provides extensive statistical capabilities with tools for both specialized and enterprise-wide analytical needs. It can help you analyze data and make informed decisions for research, engineering, manufacturing, medical, and business applications. This user's guide provides the latest, detailed reference material for the...

Beginning R: An Introduction to Statistical Programming

Apress, 2015

Beginning R, Second Edition is a hands-on book showing how to use the R language, write and save R scripts, read in data files, and write custom statistical functions as well as use built in functions. This book shows the use of R in specific cases such as one-way ANOVA analysis, linear and logistic regression, data visualization,...

Analyzing Receiver Operating Characteristic Curves With SAS (Sas Press Series)

SAS Institute, 2007

As a diagnostic decision-making tool, receiver operating characteristic (ROC) curves provide a comprehensive and visually attractive way to summarize the accuracy of predictions. They are extensively used in medical diagnosis and increasingly in fields such as data mining, credit scoring, weather forecasting, and psychometry. In this example-driven...

Introduction to Data Analysis with R for Forensic Scientists (International Forensic Science and Investigation)

CRC Press, 2010

Statistical methods provide a logical, coherent framework in which data from experimental science can be analyzed. However, many researchers lack the statistical skills or resources that would allow them to explore their data to its full potential. Introduction to Data Analysis with R for Forensic Sciences minimizes...

Regression Analysis with R: Design and develop statistical nodes to identify unique relationships within data at scale

Packt Publishing, 2018

Build effective regression models in R to extract valuable insights from real data

Key Features

Implement different regression analysis techniques to solve common problems in data science - from data exploration to dealing with missing values

From Simple Linear Regression...

Learning Bayesian Models with R

Packt Publishing, 2015

Become an expert in Bayesian Machine Learning methods using R and apply them to solve real-world big data problems

About This Book

Understand the principles of Bayesian Inference with less mathematical equations

Learn state-of-the art Machine Learning methods

Familiarize...

Logistic Regression: A Self-Learning Text

Springer, 2002

This is the second edition of this text on logistic regression methods. As in the first edition, each chapter contains a presentation of its topic in "lecture-book" format together with objectives, an outline, key formulae, practice exercises, and a test. The "lecture-book" has a sequence of illustrations and formulae in...

Stability and Chaos in Celestial Mechanics (Springer Praxis Books / Astronomy and Planetary Sciences)

Springer, 2009

Alessandra Celletti’s proposed book presents classical celestial mechanics and its interplay with dynamical systems in a way that would be suitable for advance level undergraduate students as well as postgraduate students and researchers. First she uses paradigmatic models, such as the logistic map or the standard map, to introduce the...

Dynamic and Robust Streaming in and between Connected Consumer-Electronic Devices (Philips Research Book Series)

Springer, 2005

Dynamic and Robust Streaming in and between Connected Consumer-Electronic Devices addresses a subject that is becoming more important over the years. On the one hand the arrival of home networks is imminent, and on the other hand we notice that chips integrate more and more functionality. The home network interconnects the Consumer...

Mastering Machine Learning With scikit-learn

Packt Publishing, 2014

Apply effective learning algorithms to real-world problems using scikit-learn

About This Book

Design and troubleshoot machine learning systems for common tasks including regression, classification, and clustering

Acquaint yourself with popular machine learning algorithms, including...

Practical Data Science with R

Manning Publications, 2014

Summary

Practical Data Science with R lives up to its name. It explains basic principles without the theoretical mumbo-jumbo and jumps right to the real use cases you'll face as you collect, curate, and analyze the data crucial to the success of your business. You'll apply the R programming language...

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