Søkt på: Bøker av Daniel Gianola
totalt 9 treff
Likelihood, Bayesian, and MCMC Methods in Quantitative Genetics
Over the last ten years the introduction of computer intensive statistical methods has opened new horizons concerning the probability models that can be fitted to genetic data, the …
Likelihood, Bayesian, and MCMC Methods in Quantitative Genetics
Over the last ten years the introduction of computer intensive statistical methods has opened new horizons concerning the probability models that can be fitted to genetic data, the …
Linear Selection Indices in Modern Plant Breeding
This open access book focuses on the linear selection index (LSI) theory and its statistical properties. It addresses the single-stage LSI theory by assuming that economic weights …
Advances in Statistical Methods for Genetic Improvement of Livestock
Developments in statistics and computing as well as their application to genetic improvement of livestock gained momentum over the last 20 years. This text reviews and consolidates …
Prediction of Complex Traits Using Genomic Data
This book explains and demonstrates with real and simulated examples how whole-genome information can be used for predicting complex traits, with applications in animal, human, and …
Linear Selection Indices in Modern Plant Breeding
This open access book focuses on the linear selection index (LSI) theory and its statistical properties. It addresses the single-stage LSI theory by assuming that economic weights …
Linear Selection Indices in Modern Plant Breeding
This open access book focuses on the linear selection index (LSI) theory and its statistical properties. It addresses the single-stage LSI theory by assuming that economic weights …
Likelihood, Bayesian, and MCMC Methods in Quantitative Genetics
For numerate biologists and applied statisticians, this text gives the foundations of likelihood, Bayesian and MCMC methods for genetic analysis of quantitative traits. It covers …
Advances in Statistical Methods for Genetic Improvement of Livestock
Developments in statistics and computing as well as their application to genetic improvement of livestock gained momentum over the last 20 years. This text reviews and consolidates …