標題: Titlebook: Bayesian Statistics in Actuarial Science; with Emphasis on Cre Stuart A. Klugman Book 1992 Springer Science+Business Media New York 1992 ac [打印本頁] 作者: OAK 時間: 2025-3-21 20:08
書目名稱Bayesian Statistics in Actuarial Science影響因子(影響力)
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書目名稱Bayesian Statistics in Actuarial Science網(wǎng)絡公開度學科排名
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書目名稱Bayesian Statistics in Actuarial Science讀者反饋
書目名稱Bayesian Statistics in Actuarial Science讀者反饋學科排名
作者: 解開 時間: 2025-3-21 21:00 作者: Nomogram 時間: 2025-3-22 00:45 作者: 大都市 時間: 2025-3-22 04:40
Prediction with Parameter Uncertainty,l form, but unknown parameters. Of interest is the value of a future observation whose distribution also depends on these parameters. Of course, this is the traditional actuarial problem. The observations are the benefits paid in the past to policyholders and we desire to predict the payments that w作者: 運動吧 時間: 2025-3-22 10:09
The Credibility Problem,quantity whose ultimate value will be affected by a number of factors: the individual characteristics of the insured, the characteristics of a larger group to which the insured belongs, external factors (mostly economic quantities), and the random nature of the insured event. Recognizing that no amo作者: 失眠癥 時間: 2025-3-22 12:53 作者: cruise 時間: 2025-3-22 17:09
Modifications to the Hierarchical Normal Linear Model,s—lognormal and Poisson. In all cases the normal distribution is retained for the second level. This can usually be accomplished by careful parametrization of the first level parameters. The third modification presented is a general method for dealing with non-normal distributions.作者: Repetitions 時間: 2025-3-23 00:16
0924-5014 icable to any structured estimation problem. In particular, statisticians will recognize that the basic credibility problem has the same setting as the random e978-90-481-5790-7978-94-017-0845-6Series ISSN 0924-5014 作者: forbid 時間: 2025-3-23 02:04
Book 1992 to provide evidence concerning the quality of any estimates. While the examples are all actuarial in nature, the methods discussed are applicable to any structured estimation problem. In particular, statisticians will recognize that the basic credibility problem has the same setting as the random e作者: 外向者 時間: 2025-3-23 08:33
https://doi.org/10.1007/978-3-030-85540-6nsisting of confidence intervals and hypothesis tests is certainly the most widely used and takes up the vast majority, if not all, of the typical statistics text. On the other hand, “Bayesian” statistics, a mode of inference based on Bayes’ Theorem, has attracted a small group of passionate support作者: Projection 時間: 2025-3-23 11:31 作者: 成份 時間: 2025-3-23 15:28 作者: uncertain 時間: 2025-3-23 19:56 作者: 友好 時間: 2025-3-23 23:41
Miho Suto,Keiko Kasamatsu,Takeo Ainoyaquantity whose ultimate value will be affected by a number of factors: the individual characteristics of the insured, the characteristics of a larger group to which the insured belongs, external factors (mostly economic quantities), and the random nature of the insured event. Recognizing that no amo作者: Audiometry 時間: 2025-3-24 06:20 作者: 后退 時間: 2025-3-24 10:17 作者: 褪色 時間: 2025-3-24 11:10
Huebner International Series on Risk, Insurance and Economic Securityhttp://image.papertrans.cn/b/image/181885.jpg作者: Crumple 時間: 2025-3-24 18:46 作者: 分離 時間: 2025-3-24 19:47 作者: 公司 時間: 2025-3-25 01:10
Lecture Notes in Computer Sciencel form, but unknown parameters. Of interest is the value of a future observation whose distribution also depends on these parameters. Of course, this is the traditional actuarial problem. The observations are the benefits paid in the past to policyholders and we desire to predict the payments that will be made in the future.作者: 條約 時間: 2025-3-25 05:41 作者: 極小 時間: 2025-3-25 08:07 作者: companion 時間: 2025-3-25 14:04
The Nikkei Stock Average Prediction by SVMIn this Chapter one more restriction to the normal model of Chapter 6 will be imposed: linearity in the parameters. Within this model most all standard situations involving severity, pure premiums, or loss ratios can be handled. The only reasonable case that cannot be handled is the Poisson model for frequency. This will be covered in Chapter 9.作者: Autobiography 時間: 2025-3-25 16:04
Lecture Notes in Computer ScienceIn this Chapter a number of data sets will be introduced. Then the credibility models from the previous Chapter will be analyzed.作者: 增強 時間: 2025-3-25 21:58 作者: Sad570 時間: 2025-3-26 01:39
Examples,In this Chapter a number of data sets will be introduced. Then the credibility models from the previous Chapter will be analyzed.作者: 消散 時間: 2025-3-26 07:04
https://doi.org/10.1007/978-94-017-0845-6actuarial science; algorithm; bayesian statistics; calculus; rating; statistical analysis; statistics作者: Ancillary 時間: 2025-3-26 08:51
978-90-481-5790-7Springer Science+Business Media New York 1992作者: upstart 時間: 2025-3-26 15:38 作者: Judicious 時間: 2025-3-26 19:10
Prediction with Parameter Uncertainty,l form, but unknown parameters. Of interest is the value of a future observation whose distribution also depends on these parameters. Of course, this is the traditional actuarial problem. The observations are the benefits paid in the past to policyholders and we desire to predict the payments that will be made in the future.作者: neutral-posture 時間: 2025-3-26 22:09
The Hierarchical Bayesian Approach, at this time qualify as true Bayesian analyses. The requirements as introduced in Chapter 2 are few — a prior probability distribution that is determined before the data are collected and a model probability distribution. What we need to do for the credibility problem is identify just where these two items come in.作者: Insufficient 時間: 2025-3-27 03:40 作者: right-atrium 時間: 2025-3-27 07:52
Bayesian Statistical Analysis,t expresses our current relative opinion as to the likelihood that various possible values of . are the true value. For additional discussion of the merits of expressing uncertainty by probability see Lindley (1982 and 1987). This is called the prior distribution as it represents the state of our knowledge prior to conducting the experiment.作者: 王得到 時間: 2025-3-27 11:29
Book 1992hose issues but rather to demonstrate that within the realm of actuarial science there are a number of problems that are particularly suited for Bayesian analysis. This has been apparent to actuaries for a long time, but the lack of adequate computing power and appropriate algorithms had led to the 作者: 打火石 時間: 2025-3-27 17:22 作者: 使迷醉 時間: 2025-3-27 19:26 作者: EXALT 時間: 2025-3-27 22:24
Introduction,tistics text. On the other hand, “Bayesian” statistics, a mode of inference based on Bayes’ Theorem, has attracted a small group of passionate supporters. The debate continues with papers such as “Why Isn’t Everyone a Bayesian?” (Efron, 1986) drawing numerous comments and letters.作者: gratify 時間: 2025-3-28 05:33 作者: 匍匐 時間: 2025-3-28 08:40
Miho Suto,Keiko Kasamatsu,Takeo Ainoyahis distribution such as the mean and variance. Of greatest interest is the mean, which (under squared error loss) would be our best guess as to what the future claims might be. For the most part we will ignore the economic variables, or equivalently, assume they are accounted for outside the credibility analysis.作者: HARD 時間: 2025-3-28 12:37
The Credibility Problem,his distribution such as the mean and variance. Of greatest interest is the mean, which (under squared error loss) would be our best guess as to what the future claims might be. For the most part we will ignore the economic variables, or equivalently, assume they are accounted for outside the credibility analysis.作者: 極微小 時間: 2025-3-28 16:17 作者: 使乳化 時間: 2025-3-28 22:23
Hermann Weyl chez Gaston Bachelardhe purpose of demonstrating different approaches to studying corporate board characteristics as well as the importance of examining these characteristics, namely, board size, board independence, board leadership, gender diversity, board busyness and staggered boards.
