Parametric Statistical Inference and Modeling

Assignment help is an online tutoring site which caters to all the needs and requirements of the students by providing guidance of professional tutors in various fields. One such subject is statistics in which the students can seek assistance of our expert tutors. In statistics the students can get help in various sub-disciplines like statistical inference. In statistics, statistical inference is the process of drawing conclusions from data that are subject to random variation, for example, observational errors or sampling variation. More substantially, the terms statistical inference is used to describe systems of procedures that can be used to draw conclusions from datasets arising from systems affected by random variation. Initial requirements of such a system of procedures for inference and induction are that the system should produce reasonable answers when applied to well-defined situations and that it should be general enough to be applied across a range of situations. This subject uses models like normal, exponential families, multilevel, and non-parametric. Point, interval and set estimation; hypothesis tests and computational strategies, large and moderate sample approximations are used to reach conclusions. Theory of multi-level parametric models, including hidden Markov models, and applications likely to include biostatistics, health services, education, and sports are also studied.

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