Explicit Application of Two Level Multi-Level Logistic Regression

von Begashaw, Getnet
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Begashaw, Getnet Explicit Application of Two Level Multi-Level Logistic Regression
Begashaw, Getnet - Explicit Application of Two Level Multi-Level Logistic Regression

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Lieferung: zwischen 2021-06-18 und 2021-06-22
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Beschreibung

A statistical model represents, often in considerably idealized form, the data-generating process. The assumptions embodied by a statistical model describe a set of probability distributions, some of which are assumed to adequately approximate the distribution from which a particular data set is sampled. Multilevel models are statistical models of parameters that vary at more than one level and data's are structured in groups and coefficients can vary by group. In multilevel research, the structure of data in the population is hierarchical, and a sample from such a population can be viewed as a multistage sample. Additionally the intention of this project is to explore how does the effects of men to use condom depend on the district levels using national representative of 2004 Bangladesh DHS Dataset. Under this project men with higher education levels, men who live in an urban area rather than a rural area, and men being Orthodox rather than Muslim will have more understanding about the use of condom and this will lead to use condom in Bangladesh.

Mitwirkende

Autor:
Begashaw, Getnet

Weitere Informationen

Biografie:
Mr. Getnet Bogale Begashaw has BSc degree in Statistics from Mekelle University, MSc degree in Biostatistics from Debre Berhan University.Now, I am currently working as Statistical Consultant in Statistical Research Home PLC. My interest is to be a good researcher in regardsto Longitudinal and Survival by Bayesian Approach.
Sprache:
Englisch
Seitenanzahl:
56
Medientyp:
Taschenbuch
Verlag:
LAP Lambert Academic Publishing

Stammdaten

Produkttyp:
Taschenbuch
Verpackungsabmessungen:
0.22 x 0.15 x 0.003 m; 0.132 kg
GTIN:
09786139576449
DUIN:
HHLN4PKG6OC
CHF 38.25
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