Titlebook: Mathematical and Statistical Methods for Genetic Analysis; Kenneth Lange Textbook 2002Latest edition Springer Science+Business Media New Y

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書目名稱Mathematical and Statistical Methods for Genetic Analysis影響因子(影響力)




書目名稱Mathematical and Statistical Methods for Genetic Analysis影響因子(影響力)學(xué)科排名




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書目名稱Mathematical and Statistical Methods for Genetic Analysis網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Mathematical and Statistical Methods for Genetic Analysis被引頻次




書目名稱Mathematical and Statistical Methods for Genetic Analysis被引頻次學(xué)科排名




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書目名稱Mathematical and Statistical Methods for Genetic Analysis讀者反饋學(xué)科排名

滴注

Diffusion Processes, a deterministic framework, these models also raise the mathematical bar. The current chapter surveys the theory at an elementary level, stressing intuition rather than rigor. Readers with the time and mathematical background should follow up this brief account by delving into serious presentations of the mathematics [1, 2, 7, 8].

刀鋒

愛得痛了

Inkling

Computation of Mendelian Likelihoods,of the story. Evaluation of pedigree likelihoods remains a subject sorely in need of further theoretical improvement. Linkage calculations alone are among the most demanding computational tasks in modern biology.

Mercurial

penance

Confidential

CUB

Counting Methods and the EM Algorithm,ted by Dempster et al. [5, 12]. Our initial example retraces some of the steps in the long march from concrete problems to an abstract algorithm applicable to an astonishing variety of statistical models.

反省

,Newton’s Method and Scoring, have much to offer in small to moderate-sized problems. For those uncomfortable with pulling prior distributions out of thin air, . procedures can be an appealing compromise between classical and Bayesian methods. This chapter illustrates some of these well-known themes in the context of allele frequency estimation and linkage analysis.