Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	Juli 2007
Genre:	Naturwissensch., Medizin, Technik
	Agricultural Genetics / Animal genetics / Animal Genetics and Genomics / Applied mathematics / B / biochemistry / Biochemistry, general / bioinformatics / Biomathematics / Botany & plant sciences / Computational and Systems Biology / Computational Biology/Bioinformatics / Epidemiology & medical statistics / Genetics (non-medical) / Genetics and Population Dynamics / Information technology# general issues / Life Sciences / Life sciences# general issues / Mathematics and Statistics / Plant Genetics / Plant Genetics and Genomics / Population Genetics / Probability & statistics / Statistics / Statistics for Life Sciences, Medicine, Health Sciences / Statistics in Life Sciences, Medicine, Health Sciences / Zoology & animal sciences mehr...
ISBN:	9780387203348
EAN-Code:	9780387203348
Verlag:	Springer EN
Einband:	Gebunden
Sprache:	English
Serie:	Statistics for Biology and Health
Dimensionen:	H 235 mm / B 155 mm / D
Gewicht:	740 gr
Seiten:	368
Illustration:	XVI, 368 p.
Zus. Info:	EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

Aimed at graduate students and researchers, this book introduces the basic concepts and methods used in the statistical analysis and modeling of the DNA-based marker and phenotypic data that arise in agriculture, forestry, experimental biology, and other fields. Assuming a background in regression analysis and maximum likelihood approaches, the strength of this book lies in the construction of general models and algorithms for linkage analysis and QTL mapping in any kind of crossed pedigrees initiated with inbred lines of crops. It also provides plant and animal model systems for outbred lines in forest trees and wildlife species. The book includes a detailed description of each approach and the step-by-step demonstration of live-example analyses designed to explain the utilization and usefulness of statistical methods.