Design of experiments and statistical analysis for grouped observations : monograph / V. I. Denisov [и др.]
Язык: английский.Страна: Россия.Публикация: : NSTU Publishing house, 2004Описание: 464 p.ISBN: 5778204930.Резюме или реферат: This monograph is devoted to the problems of design of experiments and statistical data processing. Along with well-known methods, new ones, in particular, methods of statistical processing of grouped and partially grouped data, are set forth. Methods, algorithms, and procedures of regression experiment optimal design, estimation of continuous distribution and regression equations unknown parameters as well as testing statistical hypotheses are described. The book is intended for a wide circle of specialists involved in statistical data processing, conducting experimental research (i.e. engineers, economists, biologists, sociologists, etc.) and students in the final years of study majoring in the aforementioned fields..Примечания о наличии в документе библиографии/указателя: References: p. 323-334..Тематика: статистика | математическая статистика | статистические данные | обработка | проекты | эксперименты | статистические наблюдения | непрерывные распределения | статистический анализ | английский языкТип издания | Текущая библиотека | Шифр хранения | Состояние | Штрихкод | RFID | |
---|---|---|---|---|---|
Books | НТБ ТПУ Читальный зал иностранной литературы | 519 D46 | В наличии | 13821000345574 | |
Books | НТБ ТПУ Читальный зал иностранной литературы | 519 D46 | В наличии | 13821000314415 |
References: p. 323-334.
This monograph is devoted to the problems of design of experiments and statistical data processing. Along with well-known methods, new ones, in particular, methods of statistical processing of grouped and partially grouped data, are set forth. Methods, algorithms, and procedures of regression experiment optimal design, estimation of continuous distribution and regression equations unknown parameters as well as testing statistical hypotheses are described. The book is intended for a wide circle of specialists involved in statistical data processing, conducting experimental research (i.e. engineers, economists, biologists, sociologists, etc.) and students in the final years of study majoring in the aforementioned fields.
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