標題: Titlebook: Econometric Analysis of Count Data; Rainer Winkelmann Book 2008Latest edition Springer-Verlag Berlin Heidelberg 2008 Conditional Distribut [打印本頁] 作者: Arthur 時間: 2025-3-21 17:46
書目名稱Econometric Analysis of Count Data影響因子(影響力)
書目名稱Econometric Analysis of Count Data影響因子(影響力)學科排名
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書目名稱Econometric Analysis of Count Data網(wǎng)絡公開度學科排名
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書目名稱Econometric Analysis of Count Data被引頻次學科排名
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書目名稱Econometric Analysis of Count Data年度引用學科排名
書目名稱Econometric Analysis of Count Data讀者反饋
書目名稱Econometric Analysis of Count Data讀者反饋學科排名
作者: Mettle 時間: 2025-3-21 22:43
Poisson Regression,ntinuous data. Early references in econometrics include Gilbert (1982), Hausman, Hall and Griliches (1984), and Cameron and Trivedi (1986). The Poisson model is simple, and it is robust. If the only interest of the analysis lies in estimating the parameters of a log-linear mean function, there is ha作者: 問到了燒瓶 時間: 2025-3-22 00:57
Unobserved Heterogeneity, account for the full amount of individual heterogeneity in the conditional mean of the dependent variable. Assume that the true model is . However, . is unobserved by the econometrician. Thus, we have instead . where . = . represents .. An alternative, equivalent representation of the model uses . 作者: 不能逃避 時間: 2025-3-22 06:15
Sample Selection and Endogeneity, which may stem from selective sampling or selective recording. The most common forms of sample selection arise from censoring and truncation. In the former case, the count dependent variable is observed only over a limited range, whereas in the latter case, certain observations are omitted entirely作者: 誰在削木頭 時間: 2025-3-22 11:49 作者: 彩色 時間: 2025-3-22 14:10
Correlated Count Data,e count. The modeling of the correlation structure is important for the efficiency of the estimator and the computation of correct standard errors, i.e., valid inference. Beyond that, the nature of the stochastic interaction between several counts may be of independent and intrinsic interest.作者: 彩色 時間: 2025-3-22 19:05
Bayesian Analysis of Count Data,ntial book on Bayesian inference in econometrics, the Poisson regression model is not mentioned. The probable reasons for this neglect are computational complexities that in the past made the Bayesian analysis of count data models appear unattractive. However, increased computer power now allows for作者: 粗野 時間: 2025-3-23 00:41
Applications,s from mule kicks in the Prussian army during the period 1875–1894 could be well described by a Poisson distribution with mean of 0.7 corps per year. Although later studies have shifted their interest to different causes of death, the same principles apply. Accidents, by their very definition, come 作者: 有花 時間: 2025-3-23 03:08 作者: multiply 時間: 2025-3-23 08:50
Sample Selection and Endogeneity, which may stem from selective sampling or selective recording. The most common forms of sample selection arise from censoring and truncation. In the former case, the count dependent variable is observed only over a limited range, whereas in the latter case, certain observations are omitted entirely from the sample.作者: precede 時間: 2025-3-23 13:38
Correlated Count Data,e count. The modeling of the correlation structure is important for the efficiency of the estimator and the computation of correct standard errors, i.e., valid inference. Beyond that, the nature of the stochastic interaction between several counts may be of independent and intrinsic interest.作者: sparse 時間: 2025-3-23 16:31 作者: 使成波狀 時間: 2025-3-23 19:26 作者: COUCH 時間: 2025-3-23 23:25
https://doi.org/10.1007/978-3-540-78389-3Conditional Distribution Models; Count Data; Count Variables; Econometric Modeling; calculus作者: Ergots 時間: 2025-3-24 02:48
978-3-642-09640-2Springer-Verlag Berlin Heidelberg 2008作者: conceal 時間: 2025-3-24 07:23
Rainer WinkelmannUp-to-date survey of econometric and statistical techniques.Presentation of theory as well as applications in economics, marketing, sociology.Includes supplementary material: 作者: FLAGR 時間: 2025-3-24 14:12 作者: 煤渣 時間: 2025-3-24 16:12
Urban Art Maps in Cultural Context,ues . = 0, 1, 2, . . . without explicit upper limit. Regression analysis, narrowly defined, attempts to explain variation in the conditional mean of . with the help of variation in explanatory variables .. If the mean function is embedded in a probability distribution, one obtains a full conditional probability model of . given ..作者: Headstrong 時間: 2025-3-24 20:40
The Dialectic of Art and Economy, which may stem from selective sampling or selective recording. The most common forms of sample selection arise from censoring and truncation. In the former case, the count dependent variable is observed only over a limited range, whereas in the latter case, certain observations are omitted entirely from the sample.作者: 地牢 時間: 2025-3-24 23:12
https://doi.org/10.1057/9780230554641e count. The modeling of the correlation structure is important for the efficiency of the estimator and the computation of correct standard errors, i.e., valid inference. Beyond that, the nature of the stochastic interaction between several counts may be of independent and intrinsic interest.作者: 乳汁 時間: 2025-3-25 07:07
Urban Art Maps in Cultural Context,ues . = 0, 1, 2, . . . without explicit upper limit. Regression analysis, narrowly defined, attempts to explain variation in the conditional mean of . with the help of variation in explanatory variables .. If the mean function is embedded in a probability distribution, one obtains a full conditional作者: Nerve-Block 時間: 2025-3-25 08:44 作者: cauda-equina 時間: 2025-3-25 15:17 作者: resuscitation 時間: 2025-3-25 17:59
The Dialectic of Art and Economy, which may stem from selective sampling or selective recording. The most common forms of sample selection arise from censoring and truncation. In the former case, the count dependent variable is observed only over a limited range, whereas in the latter case, certain observations are omitted entirely作者: Pelvic-Floor 時間: 2025-3-25 23:55
https://doi.org/10.1007/978-3-319-68578-6tible with a standard underlying count data model (we also speak of excess zeros then). Second, theoretically, zeros often reflect corner solution outcomes in economic choice models. In such cases, the process generating zeros might depend on other driving forces than the process for strictly positi作者: B-cell 時間: 2025-3-26 04:10
https://doi.org/10.1057/9780230554641e count. The modeling of the correlation structure is important for the efficiency of the estimator and the computation of correct standard errors, i.e., valid inference. Beyond that, the nature of the stochastic interaction between several counts may be of independent and intrinsic interest.作者: 排斥 時間: 2025-3-26 07:14
The Relation of Metaphysics to Aesthetics,ntial book on Bayesian inference in econometrics, the Poisson regression model is not mentioned. The probable reasons for this neglect are computational complexities that in the past made the Bayesian analysis of count data models appear unattractive. However, increased computer power now allows for作者: Dictation 時間: 2025-3-26 10:48 作者: 連鎖,連串 時間: 2025-3-26 16:38 作者: Confess 時間: 2025-3-26 19:17 作者: 進取心 時間: 2025-3-26 22:25
Zeros in Count Data Models,ve outcomes, making it informative and relevant to distinguish between elasticities at the intensive and extensive margins. This issue is reminiscent of the debate in the limited dependent variable literature on the appropriateness of the Tobit model as opposed to so-called two-part models (Cragg, 1971, Duan et al., 1993).作者: vitrectomy 時間: 2025-3-27 02:42 作者: asthma 時間: 2025-3-27 07:19
Art Therapy and Emotion Regulation Problems is unobserved by the econometrician. Thus, we have instead . where . = . represents .. An alternative, equivalent representation of the model uses . = exp(.), so that . Can there be any hope that the Poisson maximum likelihood estimator based on the mean function . = exp(.) maintains some or all of its usual desirable properties?作者: overrule 時間: 2025-3-27 13:24
The Relation of Metaphysics to Aesthetics,al complexities that in the past made the Bayesian analysis of count data models appear unattractive. However, increased computer power now allows for fast evaluation of posterior distributions by simulation methods. The basic approaches to Bayesian inference by simulation are discussed in this chapter.作者: 深淵 時間: 2025-3-27 14:22 作者: STING 時間: 2025-3-27 18:35 作者: Individual 時間: 2025-3-28 00:18 作者: Goblet-Cells 時間: 2025-3-28 02:48 作者: 考古學 時間: 2025-3-28 08:49
Unobserved Heterogeneity, is unobserved by the econometrician. Thus, we have instead . where . = . represents .. An alternative, equivalent representation of the model uses . = exp(.), so that . Can there be any hope that the Poisson maximum likelihood estimator based on the mean function . = exp(.) maintains some or all of its usual desirable properties?作者: patriot 時間: 2025-3-28 11:03 作者: 彎曲道理 時間: 2025-3-28 16:29
Applications,Although later studies have shifted their interest to different causes of death, the same principles apply. Accidents, by their very definition, come possibly closest to the notion of randomness required for processes such as the Poisson process.作者: Comprise 時間: 2025-3-28 19:20
https://doi.org/10.1007/978-3-319-68578-6ve outcomes, making it informative and relevant to distinguish between elasticities at the intensive and extensive margins. This issue is reminiscent of the debate in the limited dependent variable literature on the appropriateness of the Tobit model as opposed to so-called two-part models (Cragg, 1971, Duan et al., 1993).作者: 忘恩負義的人 時間: 2025-3-28 23:32
10樓作者: Oafishness 時間: 2025-3-29 05:43
10樓
