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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.
Machine learning is a term which literally means the ability of a machine to recognize patterns which have occurred repetitively and to improve its performance based on the past
We are installing a router for our network. We believe that the time between the arrival of packets will be exponentially distributed with parameter R = 2 packets/second, and th
How is the rejection region defined and how is that related to the z-score and the p value? When do you reject or fail to reject the null hypothesis? Why do you think statisticians
how to describe association between quantitative and categorical variables
Glim is the software package specifically suited for fitting the generalized linear models (the acronym stands for the Generalized Linear Interactive Modelling), including the log
moving and semi average method graphical reprsentation
Procedures for estimating the probability distributions without supposing any particular functional form. Constructing the histogram is perhaps the easiest example of such type of
Biplots: It is the multivariate analogue of the scatter plots, which estimates the multivariate distribution of the sample in a few dimensions, typically two and superimpose on th
Half-normal plot is a plot for diagnosing the model inadequacy or revealing the presence of outliers, in which the absolute values of, for instance, the residuals from the multipl
The model for data containing continuous and categorical variables both.The categorical data are summarized by the contingency table and their marginal distribution, 182by the mult
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