Learn IT - Books tags multivariate

Software Reliability Modeling: Fundamentals and Applications (SpringerBriefs in Statistics)

Springer, 2013

Software reliability is one of the most important characteristics of software product quality. Its measurement and management technologies during the software product life cycle are essential to produce and maintain quality/reliable software systems. Part 1 of this book introduces several aspects of software reliability modeling and its...

Advances in Data Analysis: Proceedings of the 30th Annual Conference

Springer, 2007

The book focuses on exploratory data analysis, learning of latent structures in datasets, and unscrambling of knowledge. It covers a broad range of methods from multivariate statistics, clustering and classification, visualization and scaling as well as from data and time series analysis. It provides new approaches for information retrieval and...

Chemometrics with R: Multivariate Data Analysis in the Natural Sciences and Life Sciences (Use R!)

Springer, 2011

This accessible primer on multivariate statistics in the life sciences gives a full description of the general data analysis paradigm, from exploratory analysis to modeling to validation; covers other aspects of chemometrics; and supplies the relevant R code.

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An R and S-Plus® Companion to Multivariate Analysis (Springer Texts in Statistics)

Springer, 2007

Applied statisticians often need to perform analyses of multivariate data; for these they will typically use one of the statistical software packages, S-Plus or R. This book sets out how to use these packages for these analyses in a concise and easy-to-use way, and will save users having to buy two books for the job. The author is...

Always Be Testing: The Complete Guide to Google Website Optimizer

Sybex, 2008

Stop guessing, start testing, and enjoy greater success with your website.

If you’re looking for more leads, sales, and profit from your website, then look no further than this expert guide to Google’s free A/B and multivariate website testing tool, Google Website Optimizer. Recognized online marketing guru and New York...

Smoothing Spline ANOVA Models (Springer Series in Statistics)

Springer, 2013

Nonparametric function estimation with stochastic data, otherwise known as smoothing, has been studied by several generations of statisticians. Assisted by the ample computing power in today's servers, desktops, and laptops, smoothing methods have been finding their ways into everyday data analysis by practitioners. While scores of...

Handbook of Multivariate Process Capability Indices

CRC Press, 2020

Providing a single-valued assessment of the performance of a process is often one of the greatest challenges for a quality professional. Process Capability Indices (PCIs) precisely do this job. For processes having a single measurable quality characteristic, there is an ample number of PCIs, de?ned in literature. The situation...

Introduction to Machine Learning (Adaptive Computation and Machine Learning)

MIT Press, 2004

The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Many successful applications of machine learning exist already, including systems that analyze past sales data to predict customer behavior, recognize faces or spoken speech, optimize robot behavior so that a task can be completed...

Introduction to Data Mining and its Applications (Studies in Computational Intelligence)

Springer, 2006

An enormous proliferation of databases in almost every area of human endeavor has created a great demand for new, powerful tools for turning data into useful, task-oriented knowledge. In the efforts to satisfy this need, researchers have been exploring ideas and methods developed in machine learning, pattern recognition, statistical data analysis,...

Spatial Data Analysis in Ecology and Agriculture Using R

CRC Press, 2018

Key features:

Unique in its combination of serving as an introduction to spatial statistics and to modeling agricultural and ecological data using R

Provides exercises in each chapter to facilitate the book's use as a course textbook or for self-study

Nonlinear Biomedical Signal Processing, Fuzzy Logic, Neural Networks, and New Algorithms (IEEE Press Series on Biomedical Engineering) (Volume 1)

John Wiley & Sons, 2000

For the first time, eleven experts in the fields of signal processing and biomedical engineering have contributed to an edition on the newest theories and applications of fuzzy logic, neural networks, and algorithms in biomedicine. Nonlinear Biomedical Signal Processing, Volume I provides comprehensive coverage of nonlinear signal...

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...

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