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In the present study, the latest Tropical Rainfall Measuring Mission (TRMM) Multi-satellite Precipitation Analysis (TMPA) research product 3B42V7 has been evaluated over gauge-based India Meteorological Department (IMD) gridded dataset employing statistical and contingency table methods for two South Indian watersheds.
The family of positive tempered α-stable (pTAS) or sometimes also tempered one-sided α-stable distributions dates back to Tweedie (1984) and Hougaard (1986) who discussed it in the context of frailty distribution in life table methods for heterogenous populations.
That is the quantity of interest for policy applications, and it has been calculated by the above mentioned life table methods for the cohort studies.
That can be determined by means of cohort studies [ 1- 4], in combination with life table methods for calculating the LE gain due to a change in relative risk [ 5- 8].
The raster datasets of climatic parameters have been analyzed in GIS to get derived and classified parameters required in the Mahoney Tables method for computation of six climatic indicators.
Nonrecurrence rates were evaluated using the life-table method for grouped data.
As only two time points were considered, the life-table method for grouped data was chosen.
Survival was analysed using the Kaplan-Meier life-table method for the COG cohort because this cohort was homogeneously treated over a fixed time period.
The primary outcome was HIV infection or death which was examined using Kaplan-Meier life-table methods for univariate and Cox Proportional Hazards models for multivariate analyses [16].
Our results show that the violation of the stationary population assumption of the classical life table method has strong consequences for the accuracy of life expectancy estimates.
The cumulative incidence of respiratory system involvement (and subtypes) was estimated using product-limit life table methods, accounting for the competing risk of death.
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