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Personal probabilities: A radically special approach for allocating probabilities to events than, for instance, the commonly used long-term relative frequency approach. In this type of approach, probability represents the degree of belief in a proposition, based on the entire information.
The two people with different information and different subjective ignorance might therefore assign different probabilities to the same proposition. The only constraint is that the single person's probabilities must not be inconsistent. Person-years at risk Units of measurement which combine the persons and time by summing individual units of the time (the years and fractions of years) during which subjects in a study population have been exposed to the threat of the result under study. A person-year is equivalent of the experience of one individual for one year.
Hi , Im currently taking the course Financial Econometrics of Master of Finance at RMIT. I find it really difficult to understand the course''s material and now im having the majo
Clustered data : The term applied to both the data in which the sampling units are grouped into the clusters sharing some common feature, for instance families or geographical reg
Conjugate prior : The distribution for samples from the particular probability distribution such that the posterior distribution at each stage of the sampling is of the identical f
Chapter 7 2. Describe the distribution of sample means (shape, expected value, and standard error) for samples of n =36 selected from a population with a mean of µ = 100 and a sta
Meta-analysis is the collection of techniques whereby the results of two or more independent studies are statistically combined to yield the overall answer to a question of intere
An analyst counted 17 A/B runs and 26 time series observations. Do these results suggest that the data are nonrandom? Explain
Law of likelihood : Within framework of the statistical model, a particular set of data supports one statistical hypothesis or assumption better than another if the likelihood of t
Probit analysis is the technique most commonly employed in the bioassay, specifically toxicological experiments where the group of animals is subjected to known levels of a toxin
An approach to decrease the size of very large data sets in which the data are first 'binned' and then statistics such as the mean and variance/covariance are calculated on each bi
re-reference all these indexes
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