Fitting Linear Models, A. McIntosh

Автор: R.W. Farebrother
Название: Fitting Linear Relationships
ISBN: 1461268125 ISBN-13(EAN): 9781461268123
Издательство: Springer
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Цена: 93160.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Detailed descriptions of the fitting of linear relationships by the method of least squares and the closely related least absolute deviations and minimax absolute deviations procedures are presented, along with some of the important work by Laplace, Gauss, and Adrain.

Автор: Martin A Hjortso
Название: Linear Mathematical Models In Chemical Engineering
ISBN: 9812794158 ISBN-13(EAN): 9789812794154
Издательство: World Scientific Publishing
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Цена: 111930.00 T
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Описание: Reviews, introduces, and develops the mathematics that is encountered in sophisticated chemical engineering models. This book provides coverage of chemical engineering model formulation and analysis. It serves as an introduction to linear mathematics for engineering students.

Автор: Darlington Richard B., Hayes Andrew F.
Название: Regression Analysis and Linear Models: Concepts, Applications, and Implementation
ISBN: 1462521134 ISBN-13(EAN): 9781462521135
Издательство: Taylor&Francis
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Цена: 83690.00 T
Наличие на складе: Невозможна поставка.
Описание: Ephasizing conceptual understanding over mathematics, this user-friendly text introduces linear regression analysis to students and researchers across the social, behavioral, consumer, and health sciences. Coverage includes model construction and estimation, quantification and measurement of multivariate and partial associations, statistical control, group comparisons, moderation analysis, mediation and path analysis, and regression diagnostics, among other important topics. Engaging worked-through examples demonstrate each technique, accompanied by helpful advice and cautions. The use of SPSS, SAS, and STATA is emphasized, with an appendix on regression analysis using R. The companion website (www.afhayes.com) provides datasets for the book`s examples as well as the RLM macro for SPSS and SAS. Pedagogical Features: *Chapters include SPSS, SAS, or STATA code pertinent to the analyses described, with each distinctively formatted for easy identification. *An appendix documents the RLM macro, which facilitates computations for estimating and probing interactions, dominance analysis, heteroscedasticity-consistent standard errors, and linear spline regression, among other analyses. *Students are guided to practice what they learn in each chapter using datasets provided online. *Addresses topics not usually covered, such as ways to measure a variable`s importance, coding systems for representing categorical variables, causation, and myths about testing interaction.

Автор: R. Gilchrist
Название: GLIM 82: Proceedings of the International Conference on Generalised Linear Models
ISBN: 0387907777 ISBN-13(EAN): 9780387907772
Издательство: Springer
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Цена: 81050.00 T
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Описание: This volume of Lecture Notes in Statistics consists of the published proceedings of the first international conference to be held on the topic of generalised linear models.

Автор: Ludmilla A. Uvarova; Arkadii E. Arinstein; Anatoli
Название: Mathematical Models of Non-Linear Excitations, Transfer, Dynamics, and Control in Condensed Systems and Other Media
ISBN: 0306461331 ISBN-13(EAN): 9780306461330
Издательство: Springer
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Цена: 153720.00 T
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Описание: Features articles from the Third International Conference of Mathematical Models of Non-Linear Excitations, Transfer, Dynamics and Control in Condensed Systems and Other Media, held June 29-July 3, 1998. This book covers topics including nonlinear exaltations in condensed systems and a evolution of complex systems.

Автор: Giuseppe Lancia; Paolo Serafini
Название: Compact Extended Linear Programming Models
ISBN: 3319639757 ISBN-13(EAN): 9783319639758
Издательство: Springer
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Цена: 79190.00 T
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Описание: This book provides a handy, unified introduction to the theory of compact extended formulations of exponential-size integer linear programming (ILP) models.

Автор: Mcculloch, Charles E. Searle, Shayle R. Neuhaus, J
Название: Generalized, linear, and mixed models
ISBN: 0470073713 ISBN-13(EAN): 9780470073711
Издательство: Wiley
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Цена: 167850.00 T
Наличие на складе: Нет в наличии.
Описание: - This new edition presents a unified, accessible, and self-contained treatment of the latest statistical methods for analyzing correlated, non-normally distributed data. - The book`s unified treatment addresses the needs of applications-oriented users of statistical packages and also graduate students in statistics.