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Barrett and Marshall Model for conception: A biologically reasonable model for the probability of conception in a particular menstrual cycle, which supposes that the batches of sperm introduced on different days behave without any dependency. The model is
where the Xik are 0,1 variables corresponding to whether there was the intercourse or not on a particular day relative to the estimated day of the ovulation (which is day 0). The parameter pi is interpreted as the probability that the conception would happen following intercourse on the day i only.
Identification keys: The devices for identifying the samples from a set of known taxa, which contains a tree- structure where each node corresponds to the diagnostic question of t
Regression discontinuity design is the quasi-experimental design in which participants in, for instance, an intervention study, are assigned to the treatment and control groups on
Bivariate survival data : The data in which the two related survival times are of interest. For instance, in familial studies of disease incidence, data might be available on the a
Growth curve analysis is t he general term for methods dealing with development of the individuals over time. A classic instance includes recordings made on a group of children, sa
The model which arises in the context of estimating the size of the closed population where individuals within the population could be identified only during some of the observatio
It is the art of attempting to exchange something quite small and certain, for something which are large and uncertain. Gambling is big business; in the US, for instance, it is at
A statewide survey of 1,706 California adults’ residents include the following question: would you favor or oppose providing a path to citizenship for illegal immigrants in the U.S
Collective risk models : The models applied to insurance portfolios which do not create direct reference to the risk characteristics of individual members of the portfolio when des
Knox's tests: These tests designed to detect any tendency for the patients with a particular disease to form the disease cluster in time and space. The tests are relied on a two-b
Bayes factor : A summary of evidence for the modelM1 against the another modelM0 provided by the set of data D, which can be used in the model selection. Given by the ratio of post
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