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 ...

An example is given where the maximum likelihood estimator is inconsistent, but the most acceptable estimator is strongly consistent. The usual definition of consistency is criticized and a new ...

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 ...

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 ...

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

The analysis of correlated binary data is pivotal in many fields, particularly in clinical research where paired organ measurements (for example, eyes or ears) inherently exhibit dependency ...

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

Statistical Inference and Hypothesis Testing in Data Science Applications This specialization can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree ...