عنوان

Analysis of zero inflated over dispersed count data regression models with missing values

Number

TL48996

.Language of Text, Soundtrack etc

انگلیسی

Title Proper

Analysis of zero inflated over dispersed count data regression models with missing values

General Material Designation

[Thesis]

First Statement of Responsibility

Mohammad Rajibul Islam Mian

Subsequent Statement of Responsibility

Paul, Sudhir R.

Name of Publisher, Distributor, etc.

University of Windsor (Canada)

Date of Publication, Distribution, etc.

2016

Specific Material Designation and Extent of Item

131

Text of Note

Place of publication: United States, Ann Arbor; ISBN=978-1-369-11479-9

Dissertation or thesis details and type of degree

Ph.D.

Discipline of degree

MATHEMATICS AND STATISTICS

Body granting the degree

University of Windsor (Canada)

Text preceding or following the note

2016

Text of Note

Discrete data in the form of counts arise in many health science disciplines such as biology and epidemiology. The Poisson distribution is the most commonly used distribution for analysing count data. The Poisson distribution has a property that mean and the variance of the distribution are equal to each other. However, in many count data cases this property of the Poisson distribution does not hold as extra dispersion (variation) is observed in the data, and thus Poisson distribution is not an ideal choice for analysing count data in many applications. The presence of extra dispersion in count data is common in many real life situations. To accommodate this extra dispersion situation in count data a well known model is the negative binomial distribution, which is very convenient and common in practice.

Biostatistics; Statistics

Subject Term

Pure sciences;Biological sciences;Discrete data;Poisson distribution

Mohammed, Abdul Majid

Paul, Sudhir R.

Subdivision

MATHEMATICS AND STATISTICS

University of Windsor (Canada)

Call Number

1836821010; 10156426

Electronic name

p

[Thesis]

276903

a

Y