Statistical Inference in Science

The book "Statistical Inference in Science" offers a comprehensive exploration of the challenges of statistical inference in scientific experiments. It stands out from other textbooks by not only addressing the reduction of sample information to estimates but also introducing techniques for partitioning this information into different components. This allows for a nuanced examination of the various inference problems that arise from repeatable experiments. A notable feature of the book is the multitude of practical examples based on data from published scientific studies. The work is aimed at advanced students of statistics at the bachelor's, master's, and doctoral levels and can also serve as a reference work. It is assumed that readers have a basic understanding of probability theory, including the calculation and manipulation of probability and density functions, as well as variable transformation.