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Chapter 5. Estimation of Model Parameters Using Least Squares

Chapter 5. Estimation of Model Parameters Using Least Squares. 5.1 Introduction 5.2 Regression analysis 5.3 Simple OLS regression 5.4 Multiple OLS regression 5.5 Assumptions and sources of error during OLS 5.6 Model residual analysis 5.7 Other OLS parameter estimation methods

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886 views • 64 slides

Multiple Regression

Multiple Regression. W&W, Chapter 13, 15(3-4). Introduction. Multiple regression is an extension of bivariate regression to take into account more than one independent variable. The most simple multivariate model can be written as: Y = ? 0 + ? 1 X 1 + ? 2 X 2 + ?

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502 views • 19 slides

Multiple Regression

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410 views • 19 slides

Estimation of in situ UV penetration

Estimation of in situ UV penetration. GOAL: use a global database of measured K d (UV ) and R rs (?) coupled with GSM01 retrievals to develop a model for in situ K d (UV) Modeling results as of 7-1-2004. The model itself.

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203 views • 9 slides

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Overall model fit - PowerPoint PPT Presentation

Chapter 5. Estimation of Model Parameters Using Least Squares

Multiple Regression

Multiple Regression

Estimation of in situ UV penetration