It takes the average reader 8 hours to read Regression and Time Series Model Selection by Allan D R McQuarrie
Assuming a reading speed of 250 words per minute. Learn more
This important book describes procedures for selecting a model from a large set of competing statistical models. It includes model selection techniques for univariate and multivariate regression models, univariate and multivariate autoregressive models, nonparametric (including wavelets) and semiparametric regression models, and quasi-likelihood and robust regression models. Information-based model selection criteria are discussed, and small sample and asymptotic properties are presented. The book also provides examples and large scale simulation studies comparing the performances of information-based model selection criteria, bootstrapping, and cross-validation selection methods over a wide range of models. Contents:The Univariate Regression ModelThe Univariate Autoregressive ModelThe Multivariate Regression ModelThe Vector Autoregressive ModelCross-Validation and the BootstrapRobust Regression and Quasi-LikelihoodNonparametric Regression and WaveletsSimulations and Examples Readership: Statisticians, biostatisticians, applied mathematicians, engineers and economists. keywords:Information Theory;Model Selection;Regression;Time Series;Nonparametric;Multivariate;Cross Validation;Bootstrap “… is a good reference on model selection and a valuable addition to any statistical library. It can be used as a textbook in a graduate level course and will be very useful for someone starting research in this field.” Journal of the American Statistical Association “The presented materials can serve as a reference book for specialists and also as an important resource of information for statisticians dealing with applications.” Mathematics Abstracts
Regression and Time Series Model Selection by Allan D R McQuarrie is 480 pages long, and a total of 120,000 words.
This makes it 162% the length of the average book. It also has 147% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 10 hours and 55 minutes to read Regression and Time Series Model Selection aloud.
Regression and Time Series Model Selection is suitable for students ages 12 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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