A Theoretical Foundation for Count Data Models
نویسندگان
چکیده
منابع مشابه
A Theoretical Foundation for Count Data Models
For several decades, economists have used the annual demand for trips in order to measure the nonmarket value of recreation sites. Two features of trip demand functions complicate their estimation: trip demand is nonnegative and occurs in integer quantities. The fact that trip demand cannot be negative results in a censored (at zero) data set; failure to account for censoring leads to biased es...
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هدف اصلی از این تحقیق به دست آوردن و مقایسه حق بیمه باورمندی در مدل های شمارشی گزارش نشده برای داده های طولی می باشد. در این تحقیق حق بیمه های پبش گویی بر اساس توابع ضرر مربع خطا و نمایی محاسبه شده و با هم مقایسه می شود. تمایل به گرفتن پاداش و جایزه یکی از دلایل مهم برای گزارش ندادن تصادفات می باشد و افراد برای استفاده از تخفیف اغلب از گزارش تصادفات با هزینه پائین خودداری می کنند، در این تحقیق ...
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Abstract Negative binomial regression model (NBR) is a popular approach for modeling overdispersed count data with covariates. Several parameterizations have been performed for NBR, and the two well-known models, negative binomial-1 regression model (NBR-1) and negative binomial-2 regression model (NBR-2), have been applied. Another parameterization of NBR is negative binomial-P regression mode...
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To appear in G.S. Maddala and C.R. Rao ed., Handbook of Statistics: Statistical Methods in Finance, NorthHolland. In some financial studies the dependent variable is a count, taking nonnegative integer values. Examples include the number of takeover bids received by a target firm, the number of unpaid credit installments (useful in credit scoring), the number of accidents or accident claims (us...
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ژورنال
عنوان ژورنال: American Journal of Agricultural Economics
سال: 1993
ISSN: 0002-9092,1467-8276
DOI: 10.2307/1243567