Learn IT - Books tags statistical

Grey Information: Theory and Practical Applications (Advanced Information and Knowledge Processing)

Springer, 2005

This book is a crystallization of the authors' work over the last twenty-five years. The book covers the latest advances in grey information and systems research, providing a state-of-the-art overview of this important field. Covering the theoretical foundation, fundamental methods and main topics in grey information and systems research, this book...

Computer Vision - ACCV 2010: 10th Asian Conference on Computer Vision, Queenstown, New Zealand

Springer, 2011

The 2010 Asian Conference on Computer Vision took place in the southern hemisphere, in “The Land of the Long White Cloud” in Maori language, also known as New Zealand, in the beautiful town of Queenstown. If we try to segment the world we realize that New Zealand does not belong officially to any continent. Similarly, in computer...

Information Retrieval: Implementing and Evaluating Search Engines

MIT Press, 2010

An academic dynasty has come together to write an excellent textbook on information retrieval. Stefan Buttcher, Charles Clarke, and Gordon Cormack make up three generations of stellar information retrieval researchers with over fifty years of combined experience. Buttcher was Clarke's doctoral student, and Clarke was Cormack's...

SPSS for Starters, Part 2 (SpringerBriefs in Statistics)

Springer, 2012

The small book ‘‘SPSS for Starters’’ issued in 2010 presented 20 chapters of cookbook like step by step data-analyses of clinical research, and was written to help clinical investigators and medical students analyze their data without the help of a statistician. The book served its purpose well enough, since...

Learning RStudio for R Statistical Computing

Packt Publishing, 2012

If you need to create and manage complex statistical analysis projects, this book could be a catalyst for great things. In clear, practical chapters it teaches you how to employ Rstudio's powerful features to perform R statistical computing.

Overview

A complete practical tutorial for RStudio, designed...

CMOS Sigma-Delta Converters: Practical Design Guide

John Wiley & Sons, 2013

A comprehensive overview of Sigma-Delta Analog-to-Digital Converters (ADCs) and a practical guide to their design in nano-scale CMOS for optimal performance.

This book presents a systematic and comprehensive compilation of sigma-delta converter operating principles, the new advances in architectures and circuits, design...

Voice of the Customer: Capture and Analysis (Six SIGMA Operational Methods)

McGraw-Hill, 2007

Discover All the Advantages of Using Design for Six Sigma to Develop and Build Customer Value-Based Products

Voice of the Customer Capture and Analysis equips Six Sigma you with the skills needed to create and deploy surveys, capture real customers need with ethnographic methods, immediately analyze the results, and...

Learning Analytics in R with SNA, LSA, and MPIA

Springer, 2016

This book introduces Meaningful Purposive Interaction Analysis (MPIA) theory, which combines social network analysis (SNA) with latent semantic analysis (LSA) to help create and analyse a meaningful learning landscape from the digital traces left by a learning community in the co-construction of knowledge.

...

The Six Sigma Project Planner : A Step-by-Step Guide to Leading a Six Sigma Project Through DMAIC

McGraw-Hill, 2003

Meet your Six Sigma project goals--on time and on budget

Six Sigma demands results. These results are delivered by projects that are tightly linked to customer demands and enterprise strategy. If you're leading a Six Sigma initiative in your organization, this hands-on guide is designed to help you achieve these...

Alternative Breast Imaging: Four Model-Based Approaches (The International Series in Engineering and Computer Science)

Springer, 2004

Medical imaging has been transformed over the past 30 years by the advent of computerized tomography (CT), magnetic resonance imaging (MRI), and various advances in x-ray and ultrasonic techniques. An enabling force behind this progress has been the (so far) exponentially increasing power of computers, which has made it practical to explore...

Machine Learning, Neural and Statistical Classification (Ellis Horwood Series in Artificial Intelligence)

Prentice Hall, 1994

The aim of this book is to provide an up-to-date review of different approaches to classification,
compare their performance on a wide range of challenging data-sets, and draw
conclusions on their applicability to realistic industrial problems.

Before describing the contents, we first need to define what we mean by...

Computational Intelligence in Reliability Engineering (Studies in Computational Intelligence)

Springer, 2006

This two-volume book covers the recent applications of computational intelligence techniques in reliability engineering. Research in the area of computational intelligence is growing rapidly due to the many successful applications of these new techniques in very diverse problems. “Computational Intelligence” covers many fields such as...

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