標(biāo)題: Titlebook: Applied Probability; Kenneth Lange Textbook 20031st edition Springer Science+Business Media New York 2003 Analysis.Markov.Measure.Probabil [打印本頁] 作者: 加冕 時間: 2025-3-21 17:45
書目名稱Applied Probability影響因子(影響力)
書目名稱Applied Probability影響因子(影響力)學(xué)科排名
書目名稱Applied Probability網(wǎng)絡(luò)公開度
書目名稱Applied Probability網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Applied Probability被引頻次
書目名稱Applied Probability被引頻次學(xué)科排名
書目名稱Applied Probability年度引用
書目名稱Applied Probability年度引用學(xué)科排名
書目名稱Applied Probability讀者反饋
書目名稱Applied Probability讀者反饋學(xué)科排名
作者: 紅潤 時間: 2025-3-21 23:39
Alkalinity and Buffering Capacity of Water empirical Bayes 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.作者: critic 時間: 2025-3-22 01:38
Environmental Chemistry of Nitrogenusing the total variation distance between two integer-valued random variables . and {tZ}. This distance is defined by . where . denotes distribution, and . denotes the integers. Taking . = {0} in this definition yields the useful inequality 作者: adduction 時間: 2025-3-22 06:52 作者: conflate 時間: 2025-3-22 11:04
,Newton’s Method and Scoring, empirical Bayes 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.作者: 外科醫(yī)生 時間: 2025-3-22 14:44 作者: PSA-velocity 時間: 2025-3-22 19:25 作者: 星球的光亮度 時間: 2025-3-22 23:31
Biogas Technologies and Cleaning Techniques productive alternatives use elementary graph theory. The Lander-Green-Kruglyak algorithm alluded to in Chapter 7 exploits gene flow graphs and works well on small pedigrees. For large pedigrees, it is helpful to combine the graph theory perspective with stochastic methods of numerical integration [., ., ., ., ., ., .].作者: 通知 時間: 2025-3-23 02:27
Ackmez Mudhoo,Vinod Kumar Garg,Shaobin Wangul versions raise many fascinating statistical problems.We will first discuss the mathematically simpler case of haploid radiation hybrids. Once this case is thoroughly digested, we will turn to the mathematically subtler case of polyploid radiation hybrids.作者: 倒轉(zhuǎn) 時間: 2025-3-23 05:39 作者: 知道 時間: 2025-3-23 10:01 作者: Irrigate 時間: 2025-3-23 17:24
Cyclodextrins for Remediation Technologies end 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.作者: Gyrate 時間: 2025-3-23 20:55 作者: 花爭吵 時間: 2025-3-23 23:11 作者: syncope 時間: 2025-3-24 06:12
Hypothesis Testing and Categorical Data,here is in designing tests sensitive to certain types of departures from randomness. Permutation procedures permit approximation of the exact .-values for these tests and consequently relieve our anxieties about large sample approximations [.].作者: Paradox 時間: 2025-3-24 09:16 作者: adhesive 時間: 2025-3-24 14:25
Molecular Phylogeny,tree is identified, it is also of interest to estimate the branch lengths of the tree. These tell us something about the pace of evolution. For the sake of brevity, we will focus on the problem of finding the best tree.作者: 緩和 時間: 2025-3-24 15:39
Models of Recombination,k of .. After crossing-over has occurred, the recombined chromatids of a bundle are coordinately separated by two cell divisions so that each of the four resulting gametes receives exactly one chromatid.作者: BRIEF 時間: 2025-3-24 21:19 作者: 勤勉 時間: 2025-3-25 02:31
Radiation Hybrid Mapping,ul versions raise many fascinating statistical problems.We will first discuss the mathematically simpler case of haploid radiation hybrids. Once this case is thoroughly digested, we will turn to the mathematically subtler case of polyploid radiation hybrids.作者: BROOK 時間: 2025-3-25 07:04
Sequence Analysis, ., ., and . within genes. In this chapter, we explore some of the principles and algorithms applied in recognizing DNA sequence patterns and producing optimal . between two sequences. Our treatments of both problems are necessarily superficial.作者: 可能性 時間: 2025-3-25 09:19 作者: 休息 時間: 2025-3-25 14:58 作者: 正式演說 時間: 2025-3-25 19:06 作者: Affectation 時間: 2025-3-25 21:29 作者: Vulnerary 時間: 2025-3-26 00:57 作者: 畸形 時間: 2025-3-26 06:10 作者: browbeat 時間: 2025-3-26 11:27 作者: Dictation 時間: 2025-3-26 12:42 作者: 膽小懦夫 時間: 2025-3-26 20:15 作者: GLIDE 時間: 2025-3-26 23:53 作者: Jejune 時間: 2025-3-27 01:24 作者: Strength 時間: 2025-3-27 05:57 作者: 極為憤怒 時間: 2025-3-27 11:33 作者: 杠桿 時間: 2025-3-27 15:39 作者: Pelago 時間: 2025-3-27 21:36
Biogas Technologies and Cleaning Techniquesftware can be quickly overwhelmed by the synergistic obstructions of missing data, multiple marker loci, multiple alleles per marker locus, and inbreeding. This unhappy situation has prompted mathematical and statistical geneticists to formulate alternatives to the Elston-Stewart algorithm. The most作者: judicial 時間: 2025-3-28 01:00 作者: 沉思的魚 時間: 2025-3-28 05:46 作者: epicardium 時間: 2025-3-28 09:33 作者: genesis 時間: 2025-3-28 11:36 作者: MORPH 時間: 2025-3-28 18:12 作者: Harpoon 時間: 2025-3-28 19:22
https://doi.org/10.1007/0-306-48020-4pplied mathematics [., ., .]. Although diffusion models address and solve many interesting stochastic questions that are impossible to even discuss in a deterministic framework, these models also raise the mathematical bar. The current chapter surveys the theory at an elementary level, stressing int作者: 貿(mào)易 時間: 2025-3-29 02:59 作者: Concerto 時間: 2025-3-29 04:31
Basic Principles of Population Genetics,arious genetic definitions are recalled merely to provide a context for this and more advanced mathematical theory. Readers with a limited knowledge of modern genetics are urged to learn molecular genetics by formal course work or informal self-study. Appendix A summarizes a few of the major current作者: 血友病 時間: 2025-3-29 08:18
Counting Methods and the EM Algorithm,dels, geneticists by and large rely on maximum likelihood estimators rather than on competing estimators derived from minimax, invariance, robustness, or Bayesian principles. A host of methods exists for numerically computing maximum likelihood estimates. Some of the most appealing involve simple co作者: Brocas-Area 時間: 2025-3-29 13:35
,Newton’s Method and Scoring, the EM algorithm. However, the trade-offs of programming ease, numerical stability, and speed of convergence are complex, and statistical geneticists should be fluent in a variety of numerical optimization techniques for finding maximum likelihood estimates. Outside the realm of maximum likelihood,作者: 合并 時間: 2025-3-29 18:35 作者: 厭煩 時間: 2025-3-29 21:31
Computation of Mendelian Likelihoods,vestigate efficient algorithms for likelihood computation on pedigree data, placing particular stress on the pioneering algorithm of Elston and Stewart [.]. It is no accident that their research coincided with the introduction of modern computing. To analyze human pedigree data is tedious, if not im作者: 提升 時間: 2025-3-30 02:06 作者: Ingrained 時間: 2025-3-30 06:32 作者: 朝圣者 時間: 2025-3-30 11:53 作者: 無法解釋 時間: 2025-3-30 13:48
