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Accelerated Failure Time Model
A basic model for the data comprising of survival times, in which the explanatory variables measured on an individual are supposed to act multiplicatively on the time-scale, and so affect the rate at which the individual moves along the time axis.
Accordingly the interruption in model takes place in terms of the speed of progression of the disease.
In the easiest cases of comparing the two groups of patients, for instance, those receiving the treatment A and those who are receiving the treatment B, this model supposes that the survival time of an individual on one treatment is a multiple of survival time on the other treatment; as a result of which the probability that an individual on treatment A survives beyond time t is the probability of that an individual on treatment B survives beyond time _t, where _ is an unidentified positive constant. When the end-point of the interest is the death of the patient, values of _ less than one correspond to the acceleration in the time of death of an individual given to treatment A, and values of _ greater than one shows the reverse of it. The parameter _ is generally known as the acceleration factor
merits and demerits of methods to determin trends
construction of control chart,n chart
A. Compute descriptive statistics for each stock and the S&P 500. Comment on your results. Which stocks are most volatile?
The cost of living index number on a some data was 200. From the base period, the percentage enhances in prices were-Rent Rs 60, clothing Rs 250, Fuel and Light Rs 150 and Miscella
give me question on mean is the aimplest average to understand and easy to compute
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The first step in this case is to ensure that you are adequately clear on the General Linear Model and its relationship to both ANOVA and regression. The distinction is approxim
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