Книги жанра естественные науки
Инверсия – отображение плоскости на себя, которое может переводить окружности в прямые. С одной стороны, это помогает решать «школьные» геометрические задачи, особенно те, в которых речь идёт о многих пересекающихся или касающихся окружностях. В то же время знакомство с инверсией необходимо для дальнейшего изучения таких разделов математики, как комплексный анализ и геометрия Лобачевского. После о…
Настоящая брошюра возникла на основе лекций, прочитанных автором на летней математической школе «Современная математика» в Дубне в 2006 г. В ней рассказывается о двух мощных методах современного дискретного анализа вероятностном и алгебраическом. Оба эти метода широко применяются сейчас для решения различных задач экстремальной комбинаторики. В частности, многие важные аспекты таких классических п…
Представлены сведения об элементах ядерной физики, естественных источниках радиации, действии ионизирующих излучений на организм человека, гигиенических аспектах радиационной безопасности, ядерном топливе, экологических проблемах энергетики, радиационной безопасности предприятий ядерно-топливного цикла. Для студентов высших учебных заведений, учащихся средних специальных и общеобразовательных учеб…
Complex mathematical and computational models are used in all areas of society and technology and yet model based science is increasingly contested or refuted, especially when models are applied to controversial themes in domains such as health, the environment or the economy. More stringent standards of proofs are demanded from model-based numbers, especially when these numbers represent potentia…
Statistical pattern recognition is a very active area of study and research, which has seen many advances in recent years. New and emerging applications – such as data mining, web searching, multimedia data retrieval, face recognition, and cursive handwriting recognition – require robust and efficient pattern recognition techniques. Statistical decision making and estimation are regarded as fundam…
Statistical pattern recognition is a very active area of study and research, which has seen many advances in recent years. New and emerging applications – such as data mining, web searching, multimedia data retrieval, face recognition, and cursive handwriting recognition – require robust and efficient pattern recognition techniques. Statistical decision making and estimation are regarded as fundam…
Statistical pattern recognition is a very active area of study and research, which has seen many advances in recent years. New and emerging applications – such as data mining, web searching, multimedia data retrieval, face recognition, and cursive handwriting recognition – require robust and efficient pattern recognition techniques. Statistical decision making and estimation are regarded as fundam…
Statistical pattern recognition is a very active area of study and research, which has seen many advances in recent years. New and emerging applications – such as data mining, web searching, multimedia data retrieval, face recognition, and cursive handwriting recognition – require robust and efficient pattern recognition techniques. Statistical decision making and estimation are regarded as fundam…
Generalised Least Squares adopts a concise and mathematically rigorous approach. It will provide an up-to-date self-contained introduction to the unified theory of generalized least squares estimations, adopting a concise and mathematically rigorous approach. The book covers in depth the 'lower and upper bounds approach', pioneered by the first author, which is widely regarded as a very powerful a…
Amstat News asked three review editors to rate their top five favorite books in the September 2003 issue. Categorical Data Analysis was among those chosen. A valuable new edition of a standard reference «A 'must-have' book for anyone expecting to do research and/or applications in categorical data analysis.» –Statistics in Medicine on Categorical Data Analysis, First Edition The use of statistical…
Amstat News asked three review editors to rate their top five favorite books in the September 2003 issue. Categorical Data Analysis was among those chosen. A valuable new edition of a standard reference «A 'must-have' book for anyone expecting to do research and/or applications in categorical data analysis.» –Statistics in Medicine on Categorical Data Analysis, First Edition The use of statistical…
Amstat News asked three review editors to rate their top five favorite books in the September 2003 issue. Categorical Data Analysis was among those chosen. A valuable new edition of a standard reference «A 'must-have' book for anyone expecting to do research and/or applications in categorical data analysis.» –Statistics in Medicine on Categorical Data Analysis, First Edition The use of statistical…
Amstat News asked three review editors to rate their top five favorite books in the September 2003 issue. Categorical Data Analysis was among those chosen. A valuable new edition of a standard reference «A 'must-have' book for anyone expecting to do research and/or applications in categorical data analysis.» –Statistics in Medicine on Categorical Data Analysis, First Edition The use of statistical…
Praise for the Second Edition «Statistics for Research has other fine qualities besides superior organization. The examples and the statistical methods are laid out with unusual clarity by the simple device of using special formats for each. The book was written with great care and is extremely user-friendly.»—The UMAP Journal Although the goals and procedures of statistical research have changed …
An up-to-date, comprehensive account of major issues in finite mixture modeling This volume provides an up-to-date account of the theory and applications of modeling via finite mixture distributions. With an emphasis on the applications of mixture models in both mainstream analysis and other areas such as unsupervised pattern recognition, speech recognition, and medical imaging, the book describes…