Design of Experiments

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 design and analysis of sample surveys. This subject studies methods for design and analysis of sample surveys. Sampling weights and variance estimation methods, including resampling methods are studied. Brief overview of nonstatistical aspects of survey methodology such as survey administration and questionnaire design and validation (quantitative and qualitative) is provided. Additional topics include calibration estimators, variance estimation for complex surveys and estimators, nonresponse, missing data, hierarchical models, and small-area estimation.
Statistical designs are required for efficient experimentation in physical, chemical, biological, social and management sciences and in engineering. Some others topics focused upon in this course are analysis of variance, completely randomized and randomized block designs, Latin square designs, balanced incomplete block designs, factorial designs, confounding in blocks, fractional replications, orthogonal arrays, and response surface designs. Each topic is motivated by a real-life example.
This course also provides an accessible introduction to the study of matched sampling and other design techniques in any field (e.g., economics, education, epidemiology, medicine, Political science, etc.) conducting empirical research to evaluate the causal effects of interventions.

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