Test Pattern Generation Using Boolean Proof Engines

Designed as a textbook for a one or two-term introduction to mathematical statistics for students training to become data scientists, Foundations of Statistics for Data Scientists: With R and Python is an in-depth presentation of the topics in statistical science with which any data scientist should be familiar, including probability distributions, descriptive and inferential statistical methods, and linear modelling. The book assumes knowledge of basic calculus, so the presentation can focus on 'why it works' as well as 'how to do it.' Compared to traditional "mathematical statistics" textbooks, however, the book has less emphasis on probability theory and more emphasis on using software to implement statistical methods and to conduct simulations to illustrate key concepts. All statistical analyses in the book use R software, with an appendix showing the same analyses with Python.The book also introduces modern topics that do not normally appear in mathematical statistics texts but ar

This book is a comprehensive treatise on infective and inflammatory pathologies of the cornea with corresponding clinical images and diagrammatic illustrations. Corneal infections and inflammations are a major cause of ocular morbidity and visual impairment. Early diagnosis and treatment can lead to improved visual outcome and quality of life.Both infectious (bacterial, fungal, viral and protozoan) and non-infectious keratitis that cause corneal vascularisation, scarring and vision loss are covered extensively. The illustrated clinical findings presented in the form of diagrams, photographs, cases and videos aim to serve as a practical teaching tool for fellows, trainees and practising ophthalmologists. KEY FEATURESFocuses on clinically relevant parts of corneal diseases, using illustrations with arrows indicating different pathologies and signsServes as a ready clinical compendium for trainees, fellows and ophthalmologistsExplores various corneal pathologies through a wealth of accomp