Time series, Advanced Statistics

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stationary time series

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Describe non linear model, Non linear model : A model which is non-linear i...

Non linear model : A model which is non-linear in the parameters, for instance are   Some such type of models can be converted into the linear models by linearization (the s

Describe ignorability., Ignorability : The missing data mechanism is said t...

Ignorability : The missing data mechanism is said to be ignorable for likelihood inference if (1) the joint likelihood for the responses of the interest and missing data indicators

Canonical correlation analysis, Canonical correlation analysis : A process ...

Canonical correlation analysis : A process of analysis for investigating the relationship between the two groups of variables, by ?nding the linear functions of one of the sets of

Sequencing of 4 machines, how to resolve sequencing problem if jobs 6 given...

how to resolve sequencing problem if jobs 6 given and 4 machines given. how to apply johnson rule for making to machines under this conditions. please give solution as soon as poss

Event studies, can you help specify the model for an event study and to int...

can you help specify the model for an event study and to interpret the results/

Non-identified response, Non-identified response is a term used to signify...

Non-identified response is a term used to signify censored observations in survival data, which are not independent of the endpoint of the interest. Such observations can happen f

Case series, Case series : It is the series of reports on the condition of ...

Case series : It is the series of reports on the condition of the individual patients made by treating physician. Such reports might be helpful and informative for the rare disease

Rational –experiential inventory, Demographic data: Age: continuous vari...

Demographic data: Age: continuous variable Gender: categorical variable with males coded 1, females coded 2. Relationship status: categorical variable 1 to 5. Rational

Change point problems, Change point problems : Problems with chronologicall...

Change point problems : Problems with chronologically ordered data collected over the period during which there is known to have been a change in the underlying data generation cou

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