Showing posts with label Large. Show all posts
Showing posts with label Large. Show all posts
Monday, June 20, 2011

Analyzing the Large Number of Variables in Biomedical and Satellite Imagery

Analyzing the Large Number of Variables in Biomedical and Satellite Imagery



Author: Phillip I. Good
Edition: 1
Publisher: Wiley
Binding: Kindle Edition
ISBN: B0051BKXIM



Analyzing the Large Number of Variables in Biomedical and Satellite Imagery


This book grew out of an online interactive offered through statcourse. Medical books Analyzing the Large Number of Variables in Biomedical and Satellite Imagery. om, and it soon became apparent to the author that the course was too limited in terms of time and length in light of the broad backgrounds of the enrolled students. The statisticians who took the course needed to be brought up to speed both on the biological context as well as on the specialized statistical methods needed to handle large arrays. Biologists and physicians, even though fully knowledgeable concerning the procedures used to generate microaarrays, EEGs, or MRIs, needed a full introduction to the resampling methods—the bootstrap, decision trees, and permutation tests, before the specialized methods applicable to large arrays could be introduced. As the intended audience for this book consists both of statisticians and of medical and biological research workers as well as all those research workers who make use of satellite imagery including agronomists and meteorologists, the book provides a step-by-step approach to not only the specialized methods needed to analyze the data from microarrays and images, but also to the resampling methods, step-down multi-comparison procedures, multivariate analysis, as well as data collection and pre-processing Medical books Analyzing the Large Number of Variables in Biomedical and Satellite Imagery. "This book grew out of an online interactive offered through statcourse.com, and it soon became apparent to the author that the course was too limited in terms of time and length in light of the broad backgrounds of the enrolled students. The statisticians who took the course needed to be brought up to speed both on the biological context as well as on the specialized statistical methods needed to handle large arrays. Biologists and physicians, even though fully knowledgeable concerning the procedures used to generate microaarrays, EEGs, or MRIs, needed a full introduction to the resampling methods—the bootstrap, decision trees, and permutation tests, before the specialized methods applicable to large arrays could be introduced. As the intended audience for this book consists both of statisticians and of medical and biological research workers as well as all those research workers who make use of satellite imagery including agronomists and meteorologists, the book provides a step-by-step approach to not only the specialized methods needed to analyze the data from microarrays and images, but also to the resampling methods, step-down multi-comparison procedures, multivariate analysis, as well as data collection and pre-processing. While many alternate techniques for analysis have been introduced in the past decade, the author has selected only those techniques for which software is available along with a list of the available links from which the software may be purchased or downloaded without charge. Topical coverage includes: very large arrays; permutation tests; applying permutation tests; gathering and preparing data for analysis; multiple tests; bootstrap; applying the bootstrap; classification methods; decision trees; and applying decision trees.File Size: 1624 KBPrint Length: 200 pagesPublisher: Wiley; 1 edition (May 12, 2011) Sold by: Amazon Digital Services, Inc.Language: EnglishASIN: B0051BKXIM"

download button

Download link for Analyzing the Large Number of Variables in Biomedical and Satellite Imagery

"This book grew out of an online interactive offered through statcourse.com, and it soon became apparent to the author that the course was too limited in terms of time and length in light of the broad backgrounds of the enrolled students. The statisticians who took the course needed to be brought up to speed both on the biological context as well as on the specialized statistical methods needed to handle large arrays. Biologists and physicians, even though fully knowledgeable concerning the procedures used to generate microaarrays, EEGs, or MRIs, needed a full introduction to the resampling me

"This book grew out of an online interactive offered through statcourse.com, and it soon became apparent to the author that the course was too limited in terms of time and length in light of the broad backgrounds of the enrolled students. The statisticians who took the course needed to be brought up to speed both on the biological context as well as on the specialized statistical methods needed to handle large arrays. Biologists and physicians, even though fully knowledgeable concerning the procedures used to generate microaarrays, EEGs, or MRIs, needed a full introduction to the resampling me

"This book grew out of an online interactive offered through statcourse.com, and it soon became apparent to the author that the course was too limited in terms of time and length in light of the broad backgrounds of the enrolled students. The statisticians who took the course needed to be brought up to speed both on the biological context as well as on the specialized statistical methods needed to handle large arrays. Biologists and physicians, even though fully knowledgeable concerning the procedures used to generate microaarrays, EEGs, or MRIs, needed a full introduction to the resampling me

"This book grew out of an online interactive offered through statcourse.com, and it soon became apparent to the author that the course was too limited in terms of time and length in light of the broad backgrounds of the enrolled students. The statisticians who took the course needed to be brought up to speed both on the biological context as well as on the specialized statistical methods needed to handle large arrays. Biologists and physicians, even though fully knowledgeable concerning the procedures used to generate microaarrays, EEGs, or MRIs, needed a full introduction to the resampling me



Medical Book Analyzing the Large Number of Variables in Biomedical and Satellite Imagery



om, and it soon became apparent to the author that the course was too limited in terms of time and length in light of the broad backgrounds of the enrolled students. The statisticians who took the course needed to be brought up to speed both on the biological context as well as on the specialized statistical methods needed to handle large arrays. Biologists and physicians, even though fully knowledgeable concerning the procedures used to generate microaarrays, EEGs, or MRIs, needed a full introduction to the resampling methods—the bootstrap, decision trees, and permutation tests, before the specialized methods applicable to large arrays could be introduced. As the intended audience for this book consists both of statisticians and of medical and biological research workers as well as all those research workers who make use of satellite imagery including agronomists and meteorologists, the book provides a step-by-step approach to not only the specialized methods needed to analyze the data from microarrays and images, but also to the resampling methods, step-down multi-comparison procedures, multivariate analysis, as well as data collection and pre-processing. While many alternate techniques for analysis have been introduced in the past decade, the author has selected only those techniques for which software is available along with a list of the available links from which the software may be purchased or downloaded without charge. Topical coverage includes: very large arrays; permutation tests; applying permutation tests; gathering and preparing data for analysis; multiple tests; bootstrap; applying the bootstrap; classification methods; decision trees; and applying decision trees.

download
Monday, September 13, 2010

A Course in Large Sample Theory

A Course in Large Sample Theory



Author: Thomas S. Ferguson
Edition: 1
Publisher: Chapman and Hall/CRC
Binding: Paperback
ISBN: 0412043718



A Course in Large Sample Theory (Chapman & Hall/CRC Texts in Statistical Science)


A Course in Large Sample Theory is presented in four parts. Medical books A Course in Large Sample Theory . The first treats basic probabilistic notions, the second features the basic statistical tools for expanding the theory, the third contains special topics as applications of the general theory, and the fourth covers more standard statistical topics. Nearly all topics are covered in their multivariate setting.

The book is intended as a first year graduate course in large sample theory for statisticians. It has been used by graduate students in statistics, biostatistics, mathematics, and related fields Medical books A Course In Large Sample Theory Ferguson, Thomas S. (author). author thomas shelburne ferguson format paperback language english publication year 01 07 1996 series chapman hall texts in statistical science subject mathematics sciences subject 2 mathematics title a course in large sample theory author ferguson thomas s author publisher chapman hall publication date jul 01 1996 pages 256 binding paperback edition 1 st dimensions 6 25 wx 9 50 hx 0 50 d isbn 0412043718 subject mathematics probability statistics general brand new paperback all orders get full

download button

Download link for A course in large sample theory

author thomas shelburne ferguson format paperback language english publication year 01 07 1996 series chapman hall texts in statistical science subject mathematics sciences subject 2 mathematics title a course in large sample theory author ferguson thomas s author publisher chapman hall publication date jul 01 1996 pages 256 binding paperback edition 1 st dimensions 6 25 wx 9 50 hx 0 50 d isbn 0412043718 subject mathematics probability statistics general brand new paperback all orders get full

Store Search search Title, ISBN and Author A Course in Large Sample Theory by Thomas S. Ferguson Estimated delivery 3-12 business days Format Paperback Condition Brand New Part of the Texts in Statistical Science series, this book is a graduate text on large sample theory in statistics that covers nearly all topics in their multivariate settings. The book includes a wealth of examples and contains the essentials of statistical theory required for statistics Ph.D. students. Publisher Description

Powered by Frooition Pro Click here to view full size. Full Size Image Click to close full size. A Course in Large Sample Theory - Book NEW Author(s): Thomas S. Ferguson Format: Paperback # Pages: 245 ISBN-13: 9780412043710 Published: 07/01/1996 Language: English Weight: 0.85 pounds Brand new book. About Us Payment Shipping Customer Service FAQs Welcome to MovieMars All items are Brand New. We offer unbeatable prices, quick shipping times and a wide selection second to none. Purchases come with

Presented in four parts, this book provides a complete picture of genome statistics. The first treats basic probabilistic notions, the second features the basic statistical tools for expanding the theory, the third contains special topics as applications of the general theory, and the fourth covers more standard statistical topics. Nearly all topics are covered in their multivariate setting. The book is ideal for a first year graduate course in large sample theory for statisticians. It has been used by graduate students in statistics, biostatistics, mathematics, and related fields. Throughout



Medical Book A Course in Large Sample Theory



The first treats basic probabilistic notions, the second features the basic statistical tools for expanding the theory, the third contains special topics as applications of the general theory, and the fourth covers more standard statistical topics. Nearly all topics are covered in their multivariate setting.

The book is intended as a first year graduate course in large sample theory for statisticians. It has been used by graduate students in statistics, biostatistics, mathematics, and related fields. Throughout the book there are many examples and exercises with solutions. It is an ideal text for self study.

download