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Interpolation And Regression Models For The Chemical Engineer

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;

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Regression Models For Time Series Analysis

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

Applied Numerical Methods for Chemical Engineers emphasizes the derivation of a variety of numerical methods and their application to the;

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Modeling Methods for Marine Science

propagation, least squares regression, principal component analysis, time series analysis and objective interpolation. The second part deals with;

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Ordered Regression Models

regression models before covering unconstrained partial, constrained partial, and nonparallel models. They then review existing tests for the;

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Ordered Regression Models

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 Inference in Regression

Simultaneous confidence bands enable more intuitive and detailed inference of regression analysis than the standard inferential methods;

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Simultaneous Inference in Regression

Simultaneous confidence bands enable more intuitive and detailed inference of regression analysis than the standard inferential methods;

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The Three Sisters

, acid gas injection, and enhanced oil recovery, the three sisters of natural gas engineering. This volume includes information for both;

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Gas Injection into Geological Formations and Related Topics

operations, including chapters detailing the most cutting-edge techniques in acid gas injection, carbon capture, chemical and thermodynamic models;

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Regression Models as a Tool in Medical Research

results is often challenging for beginners. Regression Models as a Tool in Medical Research presents the fundamental concepts and important;

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Regression Models As A Tool In Medical Research

results is often challenging for beginners. Regression Models as a Tool in Medical Research presents the fundamental concepts and important;

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Acid Gas Extraction for Disposal and Related Topics

. This volume includes information for both upstream and downstream operations, including chapters on modeling, carbon capture, chemical and;

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Carbon Dioxide Capture and Acid Gas Injection

. This volume includes information for both upstream and downstream operations, including chapters on well modeling, carbon capture, chemical and;

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Confidence Intervals in Generalized Regression Models

regression model. The author also explains methods of constructing confidence regions, profile likelihood-based confidence intervals, and likelihood;

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Confidence Intervals in Generalized Regression Models

regression model. The author also explains methods of constructing confidence regions, profile likelihood-based confidence intervals, and likelihood;

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Gas Injection for Disposal and Enhanced Recovery

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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Regression Analysis

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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Regression And Time Series Model Selection

selection techniques for univariate and multivariate regression models, univariate and multivariate autoregressive models, nonparametric (including;

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Logistic Regression Using SAS

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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Advanced Regression Models with SAS and R

consists of regression models that go beyond linear regression, including models for right-skewed, categorical and hierarchical observations. The;

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Advanced Regression Models with SAS and R

consists of regression models that go beyond linear regression, including models for right-skewed, categorical and hierarchical observations. The;

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Linear Mathematical Models In Chemical Engineering

processes is fundamental to the successful career of a researcher in chemical engineering. This book reviews, introduces, and develops the;

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Regression Models

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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Logistic Regression Using SAS

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 & Multi

Data Analysis Using Regression and Multilevel/Hierarchical Models, first published in 2007, is a comprehensive manual for the applied;

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Regression: Models, Methods and Applications

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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