Results 51 to 60 of about 3,153,646 (349)

A novel approach for zero-inflated count regression model: Zero-inflated Poisson generalized-Lindley linear model with applications

AIMS Mathematics, 2023
Count regression models are important statistical tools to model the discrete dependent variable with known covariates. When the dependent variable exhibits over-dispersion and inflation at zero point, the zero-inflated negative-binomial regression model
Emrah Altun , Hana Alqifari , Mohamed S. Eliwa   +2 more
doaj   +1 more source

Overdisp: A Stata (and Mata) Package for Direct Detection of Overdispersion in Poisson and Negative Binomial Regression Models

, 2020
Stata has several procedures that can be used in analyzing count-data regression models and, more specifically, in studying the behavior of the dependent variable, conditional on explanatory variables.
Luiz Paulo Fávero, P. Belfiore, Marco Aurélio dos Santos, R. F. Souza   +3 more
semanticscholar   +1 more source

Perbandingan Metode KNN, Naive Bayes, dan Regresi Logistik Binomial dalam Pengklasifikasian Status Ekonomi Negara

Jambura Journal of Mathematics, 2023
The classification of a country's economic status as developed or developing often involves factors such as life expectancy and its underlying variables.
N. K. Kutha Ardana, Ruhiyat Ruhiyat, Nurfatimah Amany, Teofilus Kevin Irawan, Raymond Raymond, Rizalius Karunia, Syifa Fauzia   +6 more
doaj   +1 more source

The effect of public funding on research output: the New Zealand Marsden Fund [PDF]

, 2015
The Marsden Fund is the premiere funding mechanism for blue skies research in New Zealand. In 2014, $56 million was awarded to 101 research projects chosen from among 1222 applications from researchers at universities, Crown Research Institutes and ...
Adam Jaffe, Athene Laws, Jason Gush, null null, Victoria Larsen   +4 more
core   +1 more source

Fitting Additive Binomial Regression Models with the R Package blm

Journal of Statistical Software, 2013
The R package blm provides functions for fitting a family of additive regression models to binary data. The included models are the binomial linear model, in which all covariates have additive effects, and the linear-expit (lexpit) model, which allows ...
Stephanie Kovalchik, Ravi Varadhan
doaj   +1 more source

Calculation of solvency capital requirements for non-life underwriting risk using generalized linear models [PDF]

, 2017
The paper presents various GLM models using individual rating factors to calculate the solvency capital requirements for non-life underwriting risk in insurance.
Andrade-Silva, CEA, CEIOPS, EIOPA, Frees, GDV, IAA, Meng, Murphy, Sandström, SST   +10 more
core   +1 more source

Spatial modeling of confirmed COVID-19 pandemic in East Java province by geographically weighted negative binomial regression

, 2020
In East Java, 11,910 confirmed incidences for COVID-19 were registered as of 30 June 2020. We propose a Geographically Weighted Negative Binomial Regression (GWNBR) model to evaluate the effect of population density and daily average temperature on COVID-
Rinda Fitriani, I. Jaya
semanticscholar   +1 more source

Ethical Problems for the Law Firm of a Former Government Attorney: Firm or Individual Disqualification? [PDF]

, 1977
In the area of pricing insurances, many statistical tools are used. The number of tools that exist are overwhelming and it is dicult to know which one to choose.
Bullock, James F.
core   +2 more sources

LDAcoop: Integrating non‐linear population dynamics into the analysis of clonogenic growth in vitro

Molecular Oncology, EarlyView.
Limiting dilution assays (LDAs) quantify clonogenic growth by seeding serial dilutions of cells and scoring wells for colony formation. The fraction of negative wells is plotted against cells seeded and analyzed using the non‐linear modeling of LDAcoop.
Nikko Brix, Daniel Samaga, Katharina Gehr, Benedek Dankó, Mohamed Schumann, Guido Drexler, Ahmed Alnatsha, Georg Beyer, Ujjwal Mahajan, Martin Selmansberger, Julia Mayerle, Claus Belka, Horst Zitzelsberger, Kirsten Lauber   +13 more
wiley   +1 more source

Nonparametric regression in exponential families [PDF]

, 2010
Most results in nonparametric regression theory are developed only for the case of additive noise. In such a setting many smoothing techniques including wavelet thresholding methods have been developed and shown to be highly adaptive.
Brown, Lawrence D., Cai, T. Tony, Zhou, Harrison H.   +2 more
core   +4 more sources