
Linear Regression Analysis by G A F Seber
An extensive treatment of a key method in the statistician's toolboxFor more than two decades, the First Edition of Linear Regression Analysis has been an authoritative resource for one of the most common methods of handling statistical data. There have been many advances in the field over the last twenty years, including the development of more efficient and accurate regression computer programs, new ways of fitting regressions, and new methods of model selection and prediction. Linear Regression Analysis, Second Edition, revises and expands this standard text, providing extensive coverage of state-of-the-art theory and applications of linear regression analysis.
Requiring no specialized knowledge beyond a good grasp of matrix algebra and some acquaintance with straight-line regression and simple analysis of variance models, this new edition features:
- Up-to-date accounts of computational methods and algorithms currently in use without getting entrenched in minor computing details
- A careful and detailed survey of the research literature, making this a highly useful reference
- Expanded coverage of diagnostics, and more discussion of methods of model fitting, model selection and prediction
- More than 200 problems throughout the book plus outline solutions
Concise, mathematically clear, and comprehensive, Linear Regression Analysis, Second Edition, serves as both a reliable reference for the practitioner and a valuable textbook for the student.
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Statistics for Experimenters
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Applied Logistic Regression
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Categorical Data Analysis
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Robust Statistics
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Introduction to Modern Business Statistics
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Regression Analysis by Example
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Multidimensional Scaling
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Introduction to Stochastic Dynamic Programming
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Discrimination and Classification
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Analysis of Complex Surveys
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Introduction to Linear Regression Analysis
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Statistical Methods for Comparative Studies
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Applied Statistics
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Theory of Probability
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Theory of Point Estimation
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Introductory Statistics
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Optimization Under Constraints
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The Spectral Analysis of Time Series
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Introduction to the Theory and Practice of Econometrics
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Nonparametric Methods in Multivariate Analysis
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Stochastic Simulation
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Real Analysis and Probability
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A Sampler on Sampling
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Chi-squared Distribution
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Practical Nonparametric Statistics
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Introductory Engineering Statistics
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Clustering Algorithms
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Finding Groups in Data
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Beyond ANOVA
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The Statistical Analysis of Failure Time Data
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Statistical Techniques for Manpower Planning
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Survey Errors and Survey Costs
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Statistics for Spatial Data
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Variance Components
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An Introduction to Probability Theory and Mathematical Statistics
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Loss Distributions
| SKU | Unavailable |
| ISBN 13 | 9780471019671 |
| ISBN 10 | 0471019674 |
| Title | Linear Regression Analysis |
| Author | G A F Seber |
| Series | Probability And Mathematical Statistics S |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | John Wiley and Sons Ltd |
| Year published | 1977-01-27 |
| Number of pages | 486 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |



































