作者: Presbycusis 時(shí)間: 2025-3-21 20:56 作者: cleaver 時(shí)間: 2025-3-22 02:57 作者: 鴿子 時(shí)間: 2025-3-22 07:11 作者: 憤世嫉俗者 時(shí)間: 2025-3-22 10:57 作者: 收集 時(shí)間: 2025-3-22 15:43 作者: 收集 時(shí)間: 2025-3-22 19:53
0930-0325 to S- tander during the initial stages of the project. Barry C. Arnold Riverside, California USA Enrique Castillo Jose Maria Sarabia Santander, Cantabria Spain 978-0-387-97794-2978-1-4612-2912-4Series ISSN 0930-0325 Series E-ISSN 2197-7186 作者: 演講 時(shí)間: 2025-3-22 22:03
Other conditionally specified families,els not fitting into the exponential family paradigm. No general theorem analogous to Theorem 4.2.1 is available and results are obtained on a case by case basis. The key tools are, of course, Theorems 2.3 and 2.4 which permit us to solve the functional equations characterizing many conditionally specified models.作者: 斷斷續(xù)續(xù) 時(shí)間: 2025-3-23 02:21 作者: irreparable 時(shí)間: 2025-3-23 09:19 作者: 為寵愛 時(shí)間: 2025-3-23 10:42
Mehdi Kharrazi,Husrev T. Sencar,Nasir Memone sense that there exists a valid joint distribution for the bivariate random variable (.) with the given families as its corresponding conditional distributions. The concepts are most easily visualized when densities exist and, in particular, are most transparent when . are discrete and each has on作者: NOCT 時(shí)間: 2025-3-23 15:01
Patrice Rondao Alface,Benoit Macql conditional densities are univariate normal. In addition, the regression functions are linear and the conditioned variances do not depend on the value of the conditioned variable. Moreover the contours of the joint density are ellipses. Individually none of the above properties is restrictive enou作者: 直覺沒有 時(shí)間: 2025-3-23 20:10
LTSB Steganalysis Based on Quartic Equation,on in Chapter 2, it is natural to seek out more general results regarding distributions whose conditionals are posited to be members of quite general exponential families. Indeed the discussion leading up to Theorem 2.4, suggests that things should work well when conditionals are from exponential fa作者: 金桌活畫面 時(shí)間: 2025-3-23 23:05
Lecture Notes in Computer Scienceels not fitting into the exponential family paradigm. No general theorem analogous to Theorem 4.2.1 is available and results are obtained on a case by case basis. The key tools are, of course, Theorems 2.3 and 2.4 which permit us to solve the functional equations characterizing many conditionally sp作者: PTCA635 時(shí)間: 2025-3-24 04:05 作者: 通知 時(shí)間: 2025-3-24 07:43
Weina Jiang,Anthony T. S. Ho,Helen Treharne, there is no explicit necessity that such be the case. .can be . dimensional and better denoted by with . possible values x?S(JQ and Y ￡2 dimensional, better denoted by Y, with possible values .?S(Y). All the material in Chapters 2 and 4 remains correct with all X’s, Y’s, x’s and y’s underlined and作者: Duodenitis 時(shí)間: 2025-3-24 10:50 作者: Enthralling 時(shí)間: 2025-3-24 16:10 作者: Hyperlipidemia 時(shí)間: 2025-3-24 20:33
Conditionally Specified Distributions978-1-4612-2912-4Series ISSN 0930-0325 Series E-ISSN 2197-7186 作者: 新鮮 時(shí)間: 2025-3-25 02:57 作者: OUTRE 時(shí)間: 2025-3-25 03:22 作者: ONYM 時(shí)間: 2025-3-25 09:24
Lecture Notes in Statisticshttp://image.papertrans.cn/c/image/235218.jpg作者: 珊瑚 時(shí)間: 2025-3-25 11:40
Jürgen Bierbrauer,Jessica FridrichIn our discussion of compatible conditional densities (Chapter 2) it will be recalled that the key requirements for compatibility were.(i) {(.):.(.|.)>0}={(.):.(.|.)>0}.(ii) .(.|.)/.(.|.)=.(.).(.).(iii) .(.) in (ii) must be integrable.作者: 側(cè)面左右 時(shí)間: 2025-3-25 18:32 作者: MEN 時(shí)間: 2025-3-25 21:41 作者: 盡管 時(shí)間: 2025-3-26 00:49
Simulations,One of the most important tools for deriving the distributional properties of complicated functions of random variables arising in practice is the Monte Carlo method. In fact, on many occasions the analytical treatment of statistical problems is impossible, and one is forced to use simulations in order to get the desired result.作者: 裝勇敢地做 時(shí)間: 2025-3-26 04:24
https://doi.org/10.1007/978-1-4612-2912-4Distribution; Finite; calculus; equation; function; theorem作者: micronized 時(shí)間: 2025-3-26 11:21 作者: Myocarditis 時(shí)間: 2025-3-26 16:05
Basic Theorems,stributions. The concepts are most easily visualized when densities exist and, in particular, are most transparent when . are discrete and each has only a finite set of possible values. We begin our discussion in such a setting.作者: 不規(guī)則 時(shí)間: 2025-3-26 18:09 作者: 劇毒 時(shí)間: 2025-3-26 21:02
LTSB Steganalysis Based on Quartic Equation,milies. The key reference for the present chapter is Arnold and Strauss (1991). However, it should be mentioned that results due to Besag (1974) in a stochastic process setting anticipate some of the observations in this chapter.作者: BLINK 時(shí)間: 2025-3-27 04:11
https://doi.org/10.1007/978-3-642-14298-7 access to references for further reading. No notes are provided for the first chapter, but a section of notes is provided for each of the other chapters; the section titles coincide with the corresponding chapter titles.作者: jabber 時(shí)間: 2025-3-27 07:21
Conference proceedings 1992encountered in the analysis of data following con- ditionally specified models. Readily available computing power has swept away that roadblock. A broad spectrum of new flexible models may now be added to the researcher‘s tool box. This mono- graph provides a preliminary guide to these models. Furth作者: Isolate 時(shí)間: 2025-3-27 09:58 作者: 隨意 時(shí)間: 2025-3-27 13:51 作者: Acupressure 時(shí)間: 2025-3-27 19:20
Distributions with normal conditionals,gh to characterize the bivariate normal. Collectively they do characterize the bivariate normal distribution but, in fact, far less than the complete list is sufficient to provide such a characterization. Marginal normality is of course not enough.作者: fulcrum 時(shí)間: 2025-3-27 22:49 作者: indecipherable 時(shí)間: 2025-3-28 03:57
Bibliographic Notes, access to references for further reading. No notes are provided for the first chapter, but a section of notes is provided for each of the other chapters; the section titles coincide with the corresponding chapter titles.作者: 事物的方面 時(shí)間: 2025-3-28 10:18 作者: 乞討 時(shí)間: 2025-3-28 12:24
Mehdi Kharrazi,Husrev T. Sencar,Nasir Memonstributions. The concepts are most easily visualized when densities exist and, in particular, are most transparent when . are discrete and each has only a finite set of possible values. We begin our discussion in such a setting.作者: 騙子 時(shí)間: 2025-3-28 17:06 作者: 粉筆 時(shí)間: 2025-3-28 21:52 作者: Harrowing 時(shí)間: 2025-3-29 01:43
Distributions with normal conditionals,l conditional densities are univariate normal. In addition, the regression functions are linear and the conditioned variances do not depend on the value of the conditioned variable. Moreover the contours of the joint density are ellipses. Individually none of the above properties is restrictive enou作者: 包庇 時(shí)間: 2025-3-29 03:46
Conditionals in Exponential Families,on in Chapter 2, it is natural to seek out more general results regarding distributions whose conditionals are posited to be members of quite general exponential families. Indeed the discussion leading up to Theorem 2.4, suggests that things should work well when conditionals are from exponential fa作者: 龍蝦 時(shí)間: 2025-3-29 08:11
Other conditionally specified families,els not fitting into the exponential family paradigm. No general theorem analogous to Theorem 4.2.1 is available and results are obtained on a case by case basis. The key tools are, of course, Theorems 2.3 and 2.4 which permit us to solve the functional equations characterizing many conditionally sp作者: 現(xiàn)實(shí) 時(shí)間: 2025-3-29 13:05
Characterizations involving conditional moments, families. Two kinds of surprising results have been encountered. On the one hand, the class of conditionally specified joint densities might be surprisingly constrained. For example, exponential conditionals models turn out to be always negatively correlated. In some sense, then, specifying the for
