Results 111 to 120 of about 8,395,195 (223)

Regression Models for Count Data in R [PDF]

The classical Poisson, geometric and negative binomial regression models for count data belong to the family of generalized linear models and are available at the core of the statistics toolbox in the R system for statistical computing.
Simon Jackman, Achim Zeileis, Christian Kleiber   +2 more
core  

Testing for zero-modification in count regression models [PDF]

, 2006
Count data often exhibit overdispersion and/or require an adjustment for zero outcomes with respect to a Poisson model. Zero-modified Poisson (ZMP) and zero-modified generalized Poisson (ZMGP) regression models are useful classes of models for such ...
Min, Aleksey, Czado, Claudia
core   +1 more source

Efficient Regression in Time Series Partial Linear Models [PDF]

This paper studies efficient estimation of partial linear regression in time series models. In particular, it combines two topics that have attracted a good deal of attention in econometrics, viz.
Peter C.B. Phillips, Zhijie Xiao, Binbin Guo   +2 more
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Automatic Classification Of Voice Quality: Comparing

, 2008
In this paper, two methods for automatically classifying voice quality are compared: regression analysis and hidden Markov models (HMMs). The findings of this research show that HMMs can be used to classify voice quality.
Regression Models And, Mirjam Wester
core  

Modeling nitrogen dioxide concentrations using citizen science data: The case of the Brussels-Capital Region

City and Environment Interactions
Air pollution caused by NO2 emissions related to traffic is a major environmental issue in the Brussels-Capital region. Using a large set of measurements collected from a citizen science campaign, this paper shows how such data help us to get an overview
Patrick Bogaert, Noémie Huvelle, Axel Briffault, Olivier Brasseur   +3 more
doaj   +1 more source

Design, Synthesis, Characterization, and Computational Studies on Benzamide Substituted Mannich Bases as Novel, Potential Antibacterial Agents

The Scientific World Journal, 2014
A series of benzamide substituted Mannich bases (1–7) were synthesized. The synthesized derivatives were authenticated by TLC, UV-Visible, FTIR, NMR, and mass spectroscopic techniques and further screened for in vitro antibacterial activity by test tube ...
Suman Bala, Neha Sharma, Anu Kajal, Sunil Kamboj   +3 more
doaj   +1 more source

Multidimensional association models: A multilinear approach

, 2001
This article develops several multidimensional multilinear association models for sociologists and other social science researchers to analyze the relationship between categorical variables in multiway cross-classification tables.
Wong, Raymond Sin Kwok
core   +1 more source

Coupling Different Road Traffic Noise Models with a Multilinear Regressive Model: A Measurements-Independent Technique for Urban Road Traffic Noise Prediction

Sensors
Road traffic noise is a severe environmental hazard, to which a growing number of dwellers are exposed in urban areas. The possibility to accurately assess traffic noise levels in a given area is thus, nowadays, quite important and, on many occasions, compelled by law.
Domenico Rossi, Antonio Pascale, Aurora Mascolo, Claudio Guarnaccia   +3 more
openaire   +4 more sources

Prediction of Transformer Oil Insulation Strength Based on Physical Quantities Using Ensemble Machine Learning Model

Jurnal Nasional Teknik Elektro
Existing machine learning models for predicting transformer oil breakdown voltage (BDV) often depend on chemical properties, which require laboratory tests, thus making them time-consuming and costly.
Musbahu Garba Indabawa, Nouruddeen Bashir Umar, Rabiu Aliyu Abdulkadir   +2 more
doaj   +1 more source

"A regression error specification test (RESET) for generalized linear models". [PDF]

Generalized linear models (GLMs) are generalizations of linear regression models, which allow fitting regression models to response data that follow a general exponential family.
Sunil Sapra
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