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numerical methods and shows in a step-by-step fashion how to use them, focusing on interpolation and regression models. The methods and examples are;
Vergelijkbare producten zoals Interpolation And Regression Models For The Chemical Engineer
is not appropriate. This book introduces the reader to newer developments and more diverse regression models and methods for time series analysis;
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Applied Numerical Methods for Chemical Engineers emphasizes the derivation of a variety of numerical methods and their application to the;
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propagation, least squares regression, principal component analysis, time series analysis and objective interpolation. The second part deals with;
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regression models before covering unconstrained partial, constrained partial, and nonparallel models. They then review existing tests for the;
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offers a conceptual framework for understanding ordered regression models based on the probability of interest and the application of the;
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Simultaneous confidence bands enable more intuitive and detailed inference of regression analysis than the standard inferential methods;
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Simultaneous confidence bands enable more intuitive and detailed inference of regression analysis than the standard inferential methods;
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, acid gas injection, and enhanced oil recovery, the three sisters of natural gas engineering. This volume includes information for both;
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operations, including chapters detailing the most cutting-edge techniques in acid gas injection, carbon capture, chemical and thermodynamic models;
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results is often challenging for beginners. Regression Models as a Tool in Medical Research presents the fundamental concepts and important;
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results is often challenging for beginners. Regression Models as a Tool in Medical Research presents the fundamental concepts and important;
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. This volume includes information for both upstream and downstream operations, including chapters on modeling, carbon capture, chemical and;
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. This volume includes information for both upstream and downstream operations, including chapters on well modeling, carbon capture, chemical and;
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regression model. The author also explains methods of constructing confidence regions, profile likelihood-based confidence intervals, and likelihood;
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regression model. The author also explains methods of constructing confidence regions, profile likelihood-based confidence intervals, and likelihood;
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state-of-the-art processes and operations being used in the field. Not available anywhere else, this volume is a must-have for any chemical;
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The technique of regression analysis is used so often in business and economics today that an understanding of its use is necessary for;
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selection techniques for univariate and multivariate regression models, univariate and multivariate autoregressive models, nonparametric (including;
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Allison's Logistic Regression Using SAS: Theory and Application, Second Edition, is for you! Informal and nontechnical, this book both explains the;
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consists of regression models that go beyond linear regression, including models for right-skewed, categorical and hierarchical observations. The;
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consists of regression models that go beyond linear regression, including models for right-skewed, categorical and hierarchical observations. The;
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processes is fundamental to the successful career of a researcher in chemical engineering. This book reviews, introduces, and develops the;
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introduced and other regression models for non-continuous dependent variables, such as the ordered probit. Concluding with an exploration of some;
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Allison's Logistic Regression Using SAS: Theory and Application, Second Edition, is for you! Informal and nontechnical, this book both explains the;
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Data Analysis Using Regression and Multilevel/Hierarchical Models, first published in 2007, is a comprehensive manual for the applied;
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regression that closes the gap between theory and application. The most important models and methods in regression are presented on a solid formal;
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