Statistical Sleuthing Through Linear Models
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 sleuthing. This subject gives a serious introduction to statistical inference with linear models and related methods. Topics included in the course are t-tools and permutation-based alternatives, multiple-group comparisons, analysis of variance, linear regression, model checking and refinement, and causation versus correlation. Emphasis is given on thinking statistically, evaluating assumptions, and developing tools for real-life applications. Some other topics studied under this discipline are mixed effects model, contingency tables, log-linear models, logistic, Probit and Poisson regression, model selection, and model checking. Examples are drawn from several fields, particularly from biology and social sciences.
An understanding of the theory and application of generalized linear models, including models for binary and multinomial data, models for count data, overdispersion and quasi likelihood methods, and models and methods for clustered (e.g., repeated measurement) data is also required.
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