標(biāo)題: Titlebook: Probability; Alan F. Karr Textbook 1993 Springer Science+Business Media New York 1993 Conditional probability.Likelihood.Maxima.Normal dis [打印本頁(yè)] 作者: BROOD 時(shí)間: 2025-3-21 19:58
書目名稱Probability影響因子(影響力)
書目名稱Probability影響因子(影響力)學(xué)科排名
書目名稱Probability網(wǎng)絡(luò)公開(kāi)度
書目名稱Probability網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書目名稱Probability被引頻次
書目名稱Probability被引頻次學(xué)科排名
書目名稱Probability年度引用
書目名稱Probability年度引用學(xué)科排名
書目名稱Probability讀者反饋
書目名稱Probability讀者反饋學(xué)科排名
作者: Adenoma 時(shí)間: 2025-3-22 00:11
Alan F. Karrthat is an infinitely differentiable function of . (i.e. if .(.), .′(.) are vector fields of class ., then .(.(.), .′(.)) is a function of class .). The notion of Hermiticity requires, of course, a complex structure in the fibers of .Ω. It is introduced in a standard manner as follows: if . are the 作者: OATH 時(shí)間: 2025-3-22 01:07
Alan F. Karrthat is an infinitely differentiable function of . (i.e. if .(.), .′(.) are vector fields of class ., then .(.(.), .′(.)) is a function of class .). The notion of Hermiticity requires, of course, a complex structure in the fibers of .Ω. It is introduced in a standard manner as follows: if . are the 作者: Obedient 時(shí)間: 2025-3-22 06:43 作者: Ostrich 時(shí)間: 2025-3-22 11:45 作者: 哀求 時(shí)間: 2025-3-22 12:59
Alan F. Karrs tour de force. The editors, themselves famous for their own extensive contributions in this area, must be congratulated for their ?ne achievements. Every card-carrying specialist needs a reference book of this sort. My own are well worn by many years’ reference, for when confronted by big problems作者: atopic-rhinitis 時(shí)間: 2025-3-22 18:21 作者: Outwit 時(shí)間: 2025-3-22 21:20
Probability,e, demography, waiting lines, astronomy, agricultural experiments, clinical trials, signal processing, traffic flow, reliability of complex systems, population growth, spread of infectious diseases, genetics, neurophysiology, microstructure of materials, precipitation, storage systems, telecommunica作者: Limousine 時(shí)間: 2025-3-23 03:29
Expectation,ues, where the weight of each value is the probability of the set on which it is assumed. Although it will not be until §3 that we establish this, it is intuitively clear that if . is discrete with values in the countable set ., this weighted average is given by.Similarly, if . is absolutely continu作者: SKIFF 時(shí)間: 2025-3-23 08:26
Convergence of Random Variables,ts relationship to pointwise convergence, and convergence in distribution, because of its being the easiest to establish, are the most important and useful. Both generalize meaningfully and naturally to random vectors. Convergence in probability is significant for weak laws of large numbers, and in 作者: 疲憊的老馬 時(shí)間: 2025-3-23 12:23
Characteristic Functions, ways, primarily because of its superior smoothness properties. The characteristic function uniquely determines the distribution function, so that recognizing the characteristic function of a random variable identifies its distribution function. The density function, if it exists, can be recovered a作者: endure 時(shí)間: 2025-3-23 16:12 作者: adduction 時(shí)間: 2025-3-23 20:10
Martingales,eory that has been developed for them, have become central objects in probability and statistics. Along with Markov processes and stationary processes, they are one of three key departures from independence.作者: Feigned 時(shí)間: 2025-3-24 00:47
Alan F. Karrally define in .Ω the operation of multiplication by a complex number ((. + .). = . +.), and complex conjugation Σ{.(?/?.)+.(?/?.) ? Σ{.(?/?.)?.(?/?.) (in .Ω the operator Σ.(?/?.) ? Σ?.(?/?.) corresponds to it; do not confuse it with the corresponding operation in ?.Ω!). Hermiticity of .(.,.′) means作者: Communal 時(shí)間: 2025-3-24 03:27
Alan F. Karrally define in .Ω the operation of multiplication by a complex number ((. + .). = . +.), and complex conjugation Σ{.(?/?.)+.(?/?.) ? Σ{.(?/?.)?.(?/?.) (in .Ω the operator Σ.(?/?.) ? Σ?.(?/?.) corresponds to it; do not confuse it with the corresponding operation in ?.Ω!). Hermiticity of .(.,.′) means作者: 信任 時(shí)間: 2025-3-24 07:23 作者: Delectable 時(shí)間: 2025-3-24 11:37
Alan F. Karr in style. For this is a core area of specialist practice;your more general colleagues may think twice before referring you new cases of cancer and in?ammatory bowel disease (both also central areas in colorectal surgery), but they will not hesitate in referring the patients whose inves- gation and 作者: 閑逛 時(shí)間: 2025-3-24 14:51 作者: 偏離 時(shí)間: 2025-3-24 20:26 作者: 競(jìng)選運(yùn)動(dòng) 時(shí)間: 2025-3-25 01:09 作者: fabricate 時(shí)間: 2025-3-25 05:40 作者: obtuse 時(shí)間: 2025-3-25 09:25
Random Variables,Random variables, the essence of probability, comprise the subject matter of this chapter and much of the remainder of the book.作者: 雪上輕舟飛過(guò) 時(shí)間: 2025-3-25 15:11 作者: 博識(shí) 時(shí)間: 2025-3-25 19:41 作者: fulcrum 時(shí)間: 2025-3-25 20:10 作者: Campaign 時(shí)間: 2025-3-26 00:40
Probability978-1-4612-0891-4Series ISSN 1431-875X Series E-ISSN 2197-4136 作者: 里程碑 時(shí)間: 2025-3-26 07:23 作者: 按等級(jí) 時(shí)間: 2025-3-26 09:49
Martingales,eory that has been developed for them, have become central objects in probability and statistics. Along with Markov processes and stationary processes, they are one of three key departures from independence.作者: 魯莽 時(shí)間: 2025-3-26 13:34
https://doi.org/10.1007/978-1-4612-0891-4Conditional probability; Likelihood; Maxima; Normal distribution; Probability space; Random variable; Sage作者: 豐滿有漂亮 時(shí)間: 2025-3-26 17:50 作者: languor 時(shí)間: 2025-3-27 00:46
Textbook 1993s that seems ubiquitous in departments of statistics, biostatistics, mathemat- ical sciences, applied mathematics and mathematics. While it is accessi- ble to advanced ("mathematically mature") undergraduates, it could also serve, with supplementation, for a course on measure-theoretic probability. 作者: heartburn 時(shí)間: 2025-3-27 03:34
Characteristic Functions,ments of a random variable are derivatives at zero of its characteristic function, while existence of even-order derivatives of the characteristic function implies existence of the corresponding moments. Finally, random variables converge in distribution if and only if their characteristic functions converge pointwise.作者: 幼兒 時(shí)間: 2025-3-27 07:42
Probability,opulation growth, spread of infectious diseases, genetics, neurophysiology, microstructure of materials, precipitation, storage systems, telecommunications, statistical mechanics, earthquakes and medical imaging have furnished both difficult mathematical questions and genuine interest in the answers.作者: Constitution 時(shí)間: 2025-3-27 13:18 作者: 抓住他投降 時(shí)間: 2025-3-27 16:30
Convergence of Random Variables,seful. Both generalize meaningfully and naturally to random vectors. Convergence in probability is significant for weak laws of large numbers, and in statistics, for certain forms of consistency. Quadratic mean convergence and . convergence are used to establish convergence of moments, as well as in martingale theory (Chapter 9).作者: 偽造者 時(shí)間: 2025-3-27 18:35
