Jargon Although not a concept, there is some important jargon that you need to be familiar with in order to learn statistical inference. Two key terms are point estimates and population parameters. A ...

Introductory chapters provide elementary statistical concepts as applied to clinical trials and an overview of statistical inference, including discussions of power, sample size calculations, p-values ...

Statistical inference on the circle may strongly depend on the chosen reference system. Here, we introduce necessary and sufficient conditions to avoid inferential problems and misinterpretation of ...

Ngai-Hang Chan, Jian Chen, Xiaohong Chen, Yanqin Fan, Liang Peng, STATISTICAL INFERENCE FOR MULTIVARIATE RESIDUAL COPULA OF GARCH MODELS, Statistica Sinica, Vol. 19, No. 1 (January 2009), pp. 53-70 ...

Statistical inference in the context of censored data and competing risks represents a crucial area in reliability engineering, biomedical research, and numerous safety-critical applications.

Advanced Statistical Inference Properties of estimators: unbiasedness, consistency, efficiency and sufficiency. Methods of estimation with particular emphasis given to the method of maximum likelihood ...

Specialization: Data Science Foundations: Statistical InferenceInstructor: Dr. Jem Corcoran, Associate Professor in Applied MathematicsPrior knowledge ...

The course covers the probability, distribution theory and statistical inference needed for advanced courses in statistics and econometrics. Michaelmas term: Probability.