Книга Applied Regression Modeling автора Iain Pardo - это практическое руководство по моделированию зависимостей и применению статистических методов. Книга содержит множество примеров для интерпретации и решения сложных задач в экономике и бизнесе, включая регрессию, классификацию и прогнозирование. Автор предоставляет информацию для эффективного использования этих методов в практике и обучения студентов в различных областях, таких как наука о данных, информатика, инженерия и бизнес. Книга имеет научную и практическую ценность, что делает ее необходимой для всех, кто занимается статистическими методами анализа данных.
The text provides comprehensive coverage of regression modelling, and is aimed at the non-specialist with minimal previous statistical knowledge. Tackling many of the mistakes that novices make (such as failing to label variables correctly), the book emphasises Gibbs sampling, quantile regression and the use of plotting software. The book also shows how databases such as STATA can be exploited to run complex regression models quickly and easily, thereby speeding up research considerably. Matlab code for the examples presented in the text is freely available on the author's website. Applied Regression Modelling provides a sensible introduction to the methods commonly used in social research. The inclusion of worked examples, accessible writing style and helpful plots all help the reader follow the ideas presented. An additional (online) article (Data Analysis and Regression Models in Applied Sports Research) elucidates some standard issues in thinking about data selection and model fitting from a sports science research point of view. Although directly concerned with sports science, the advice in the latter article is pertinent to any research subject. Student feedback indicates that the online article is useful and that commentators appreciated the idea of having an extension which adds real-world relevance to the material taught. The challenges facing researchers using quantitative methods when applying them to their own data are exemplified by the case studies which explore current statistical issues. It is hoped that, by examining how other researchers tackle similar issues, readers will develop an appreciation for proper techniques in drawing conclusions from their data, thus putting them in a stronger position when it comes to validating or rejecting their hypotheses. In conclusion, Applied Regression Modelling is a resource to (enough so that non-statisticians can pick it up and apply the basic concepts) but it also attempts to provide enough detail (mainly summary tables) that even beginners learning more statistical techniques can tackle a simple regression analysis in text. Finally, it is recommended that interested parties want to try their hand at generalized additive models, as this topic is not covered in any depth, although some pointers are provided. A suggested reading list points readers towards material where they can gain further insights and learning.
Электронная Книга «Applied Regression Modeling» написана автором Iain Pardoe в году.
Минимальный возраст читателя: 0
Язык: Английский
ISBN: 9781119615880
