Optimal Experimental Design for Non-Linear Models Theory and Applications /

Optimal Experimental Design for Non-Linear Models Theory and Applications /

This book tackles the Optimal Non-Linear Experimental Design problem from an applications perspective. At the same time it offers extensive mathematical background material that avoids technicalities, making it accessible to non-mathematicians: Biologists, Medical Statisticians, Sociologists, Engine...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας:	Kitsos, Christos P. (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή:	SpringerLink (Online service)
Μορφή:	Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:	English
Έκδοση:	Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
Σειρά:	SpringerBriefs in Statistics,
Θέματα:	Statistics. Statistics, general.
Διαθέσιμο Online:	Full Text via HEAL-Link

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Optimal Covariate Designs Theory and Applications /
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Non-Linear Time Series Extreme Events and Integer Value Problems /
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Design of Experiments in Nonlinear Models Asymptotic Normality, Optimality Criteria and Small-Sample Properties /
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Statistics for Non-Statisticians
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Linear Models Least Squares and Alternatives /
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Experimental Designs: Exercises and Solutions
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The Linear Model and Hypothesis A General Unifying Theory /
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Experimental Methods for the Analysis of Optimization Algorithms
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Dynamic Linear Models with R
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Theory and Application of Uniform Experimental Designs
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Experimental Design With Application in Management, Engineering, and the Sciences. /
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Graphical Models with R
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Matrix Tricks for Linear Statistical Models Our Personal Top Twenty /
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Applied Predictive Modeling
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Linear Regression
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Statistical Analysis of Designed Experiments
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Vector Generalized Linear and Additive Models With an Implementation in R /
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Modeling Psychophysical Data in R
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Linear Models in Matrix Form A Hands-On Approach for the Behavioral Sciences /
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Recent Developments in Modeling and Applications in Statistics
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Generalized Linear Models With Examples in R
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Adaptive Sampling Designs Inference for Sparse and Clustered Populations /
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Advances in Growth Curve Models Topics from the Indian Statistical Institute /
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Regression Modeling Strategies With Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis /
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Statistical Design and Analysis for Intercropping Experiments Volume II: Three or More Crops /
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Growth Curve and Structural Equation Modeling Topics from the Indian Statistical Institute /
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Statistics for Non-Statisticians
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Empirical Agent-Based Modelling - Challenges and Solutions Volume 1, The Characterisation and Parameterisation of Empirical Agent-Based Models /
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Ordered Random Variables: Theory and Applications
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Cassandra non era un’idiota Il destino è prevedibile /
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Statistical Research Methods A Guide for Non-Statisticians /
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Regression with Linear Predictors
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Linear Models for Optimal Test Design
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Modeling Infectious Disease Parameters Based on Serological and Social Contact Data A Modern Statistical Perspective /
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Essentials of Monte Carlo Simulation Statistical Methods for Building Simulation Models /
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Essential Statistical Inference Theory and Methods /
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