Applied Regression Analysis and Experimental Design by Richard J Brook
For a solid foundation of important statistical methods, the concise, single-source text unites linear regression with analysis of experiments and provides students with the practical understanding needed to apply theory in real data analysis problems.Stressing principles while keeping computational and theoretical details at a manageable level, Applied Regression Analysis and Experimental Design features an emphasis on vector geometry and least squares to unify and provide an intuitive basis for most topics covered... abundant examples and exercises using real-life data sets clearly illustrating practical of data analysis...essential exposure to MINITAB and GENSTAT computer packages , including computer printouts...and important background material such as vector and matrix properties and the distributional properties of quadratic forms.Designed to make theory work for students, this clearly written, easy-to-understand work serves as the ideal texts for courses Regression, Experimental Design, and Linear Models in a broad range of disciplines. Moreover, applied statisticians will find the book a useful reference for the general application of the linear model.-
Probability and Statistical Inference, Second Edition
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Handbook of Beta Distribution and Its Applications
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Statistical Inference Based on Divergence Measures
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Bayesian Biostatistics
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Item Response Theory
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Response Surfaces: Designs and Analyses
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Survey Sampling
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Advanced Linear Models
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Growth Curves
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Randomized Response and Indirect Questioning Techniques in Surveys
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Lognormal Distributions
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A Primer in Probability
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Analytical Methods for Risk Management
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Introduction to Spatial Econometrics
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Statistical Methods in Discrimination Litigation
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Mathematical Statistics With Applications
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The Inverse Gaussian Distribution
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Asymptotics, Nonparametrics, and Time Series
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Probability and Statistical Inference
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Handbook of Empirical Economics and Finance
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Random Processes
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Seemingly Unrelated Regression Equations Models
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Parameter Estimation in Reliability and Life Span Models
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Robust Regression
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Statistics of Quality
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Statistical Methods for Engineers and Scientists
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Econometrics
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Regression Analysis of Survival Data in Cancer Chemotherapy
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Handbook of Parallel Computing and Statistics
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Randomization Tests
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Multiple Comparisons, Selection and Applications in Biometry
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Introduction to Probability and Statistics
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Linear Least Squares Computations
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Sample Size Choice
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Bivariate Discrete Distributions
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The EM Algorithm and Related Statistical Models
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Statistics for the 21st Century
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Improving Efficiency by Shrinkage
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Bayesian Analysis of Linear Models
Brook, Richard J.; Arnold, Gregory C.
| SKU | Unavailable |
| ISBN 13 | 9780824772529 |
| ISBN 10 | 0824772520 |
| Title | Applied Regression Analysis and Experimental Design |
| Author | Richard J Brook |
| Series | Statistics: A Series Of Textbooks And Monographs |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | CRC Press |
| Year published | 1985-04-25 |
| Number of pages | 252 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |