Slash distributions offer a flexible framework for modelling heavy-tailed phenomena and atypical data behaviour in statistical inference. Originating as a means to construct distributions with high ...

Successful completion of this course demonstrate your achievement of the following learning outcomes for the MS-DS program: Define a composite hypothesis and the level of significance for a test with ...

This is a preview. Log in through your library . Abstract Statistical inference for drug shelf-life in stability analysis is considered. We propose a model that takes into account the batch-to-batch ...

This is a preview. Log in through your library . Abstract This paper studies the asymptotic properties of instrumental variable (IV) estimates of multivariate cointegrating regressions and allows for ...

In the 21st century, artificial intelligence (AI) has emerged as a valuable approach in data science and a growing influence in medical research, 4-6 with an accelerating pace of innovation. This ...

Confidence intervals are computed from a random sample and therefore they are also random. The long run behavior of a 95% confidence interval is such that we’d expect 95% of the confidence intervals ...

This online data science specialization is designed to provide you with a solid foundation in probability theory in preparation for the broader study of statistics. The specialization also introduces ...

Stochastic dynamical systems arise in many scientific fields, such as asset prices in financial markets, neural activity in ...

Clinical researchers, with or without a statistical background, will find this book an invaluable aid in understanding the statistical methods cited most frequently in clinical protocols, statistical ...