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A Primer on Linear Models /
Preface Examples of the General Linear Model Introduction One-Sample Problem Simple Linear Regression Multiple Regression One-Way ANOVA First Discussion The Two-Way Nested Model Two-Way Crossed Model Analysis of Covariance Autoregression Discussion The Linear Least Squares Problem The Normal Equatio...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Boca Raton, FL :
Chapman & Hall/CRC Press,
[2008]
|
| Colección: | Texts in statistical science.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 003 | OCoLC | ||
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| 049 | |a UAMI | ||
| 100 | 1 | |a Monahan, John F. | |
| 245 | 1 | 2 | |a A Primer on Linear Models / |c John F. Monahan. |
| 264 | 1 | |a Boca Raton, FL : |b Chapman & Hall/CRC Press, |c [2008] | |
| 300 | |a 1 online resource (292 pages) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Chapman & Hall/CRC Texts in Statistical Science | |
| 505 | 0 | |a Front cover; Contents; Preface; Chapter 1: Examples of the General Linear Model; Chapter 2: The Linear Least Squares Problem; Chapter 3: Estimability and Least Squares Estimators; Chapter 4: Gauss-Markov Model; Chapter 5. Distributional Theory; Chapter 6. Statistical Inference; Chapter 7. Further Topics in Testing; Chapter 8. Variance Components and Mixed Models; Chapter 9. The Multivariate Linear Model; Appendix A: Review of Linear Algebra; Appendix B: Lagrange Multipliers; Bibliography; Back cover. | |
| 520 | |a Preface Examples of the General Linear Model Introduction One-Sample Problem Simple Linear Regression Multiple Regression One-Way ANOVA First Discussion The Two-Way Nested Model Two-Way Crossed Model Analysis of Covariance Autoregression Discussion The Linear Least Squares Problem The Normal Equations The Geometry of Least Squares Reparameterization Gram-Schmidt Orthonormalization Estimability and Least Squares Estimators Assumptions for the Linear Mean Model Confounding, Identifiability, and Estimability Estimability and Least Squares Estimators F. | ||
| 504 | |a Includes bibliographical references. | ||
| 588 | |a Description based on online resource; title from digital title page (viewed on May 25, 2023). | ||
| 590 | |a eBooks on EBSCOhost |b EBSCO eBook Subscription Academic Collection - Worldwide | ||
| 650 | 0 | |a Linear models (Statistics) | |
| 650 | 7 | |a MATHEMATICS |x Applied. |2 bisacsh | |
| 650 | 7 | |a MATHEMATICS |x Probability & Statistics |x General. |2 bisacsh | |
| 650 | 7 | |a Linear models (Statistics) |2 fast | |
| 776 | 0 | 8 | |i Print version: |a Monahan, John F. |t A Primer on Linear Models. |d Hoboken : CRC Press, ©2008 |z 9781420062014 |
| 830 | 0 | |a Texts in statistical science. | |
| 856 | 4 | 0 | |u https://ebsco.uam.elogim.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1763574 |z Texto completo |
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