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Confidence intervals in generalized regression models. (CD-ROM included).


9781420060270

Confidence intervals in generalized regression models. (CD-ROM CD-ROM: see compact disc.
CD-ROM
 in full compact disc read-only memory

Type of computer storage medium that is read optically (e.g., by a laser).
 included)

Uusipaikka, Esa.

CRC (Cyclical Redundancy Checking) An error checking technique used to ensure the accuracy of transmitting digital data. The transmitted messages are divided into predetermined lengths which, used as dividends, are divided by a fixed divisor.  / Taylor & Francis

2009

294 pages

$89.95

Hardcover

Statistics, textbooks and monographs; 194

QA278

Uusipaikka (mathematics, U. of Turku) writes primarily about profile likelihood-based confidence intervals and generalized regression models with a nod to generalized linear models. Uusipaikka begins as with likelihood-based statistical inference Inferential statistics or statistical induction comprises the use of statistics to make inferences concerning some unknown aspect of a population. It is distinguished from descriptive statistics. , including likelihood ratio tests and maximum likelihood estimates, then moves to generalized regression models (giving definitions and special cases), the general linear model, including confidence the region's and intervals, nonlinear regression models, generalized linear models, binomial binomial (bī'nō`mēəl), polynomial expression (see polynomial) containing two terms, for example, x+y. The binomial theorem, or binomial formula, gives the expansion of the nth power of a binomial (x+  and logistic regression models, Poisson regression models, multinomial mul·ti·no·mi·al  
n.
See polynomial.



[multi- + (bi)nomial.]


mul
 regression models, and other generalized regression models, including those which are linear. Extremely well illustrated and containing a wealth of real-life examples, this is intended for senior undergraduate and first level graduate students in generalized regression and can also be suitable in the study of applied statistics.

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Date:Dec 1, 2008
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