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| Series Editor's Introduction | ||
| 1 | General Introduction | 1 |
| Polynomial Regression Models | 3 | |
| Spline Knot Locations Known in Advance | 3 | |
| Splines With Unknown Knot Locations | 5 | |
| Unknown Number of Spline Knots | 6 | |
| 2 | Introduction to Spline Models | 6 |
| Interrupted Regression Analysis | 7 | |
| Piecewise Linear Regression | 9 | |
| Cubic Polynomial Regression | 13 | |
| Important Features of Spline Models | 14 | |
| 3 | Splines With Known Knot Locations | 16 |
| Linear Spline Regression Models | 16 | |
| Quadratic and Higher Order Spline Regression Models | 23 | |
| Hybrid Spline Regression Models | 24 | |
| Model Comparison Issues | 25 | |
| Model Selection Criteria | 27 | |
| Polynomial Regression and Perfect Multicollinearity | 31 | |
| F Statistics and t Statistics | 31 | |
| Autocorrelation and the Durbin-Watson Statistic | 32 | |
| 4 | Splines With Unknown Knot Locations | 33 |
| Transforming Discrete Response Into Continuous Measure | 33 | |
| Interrupted Regression Analysis | 35 | |
| Adjusting Intercepts Only | 36 | |
| Adjusting Intercepts and Slopes | 38 | |
| Splines With Known Knot Locations | 39 | |
| Unknown Spline Knot Location Estimation | 43 | |
| Quadratic Spline With Unknown Knot Locations | 46 | |
| The Wald Test | 48 | |
| Model Selection Conclusion | 48 | |
| 5 | Splines With an Unknown Number of Knots | 49 |
| Stepwise Regression as a Powerful Nonparametric Method | 49 | |
| Determining the Number, Location, and Degree of the Spline Knots | 52 | |
| Smooth Splines for Long-Term Investing | 53 | |
| Moderately Sensitive Splines for Medium-Term Investing | 55 | |
| Highly Sensitive Splines for Short-Term Investing | 56 | |
| Spline Regression Forecasting | 58 | |
| 6 | Summary and Conclusions | 61 |
| App | SAS Program to Calculate Standard Error | 63 |
| Notes | 65 | |
| References | 67 | |
| About the Authors | 69 |
| Price | Condition | Delivery | Seller | Action |
| $99.99 | Digital |
| WonderClub |
Stephen List
reviewed Spline Regression Models on February 21, 2021 Spline Regression Models
Focuses on Clayoquot Sound, on Vancouver Island's west coast. Braun is a geographer, but he employs a very wide range of critical techniques to analyze the cultural production of the wild and pristine forests of BC. Each chapter centers on a different way in which this region is mediated to the public: ecotourism, artistic representations (Emily Carr, especially), the logging industry, the environmental movement, the discourses and debates surrounding First Nations identity and rights, etc. I was especially impressed by how Braun makes use of just about every major cultural theorist of the last few decades, from Deleuze and Derrida to Judith Butler and Bruno Latour. He brings all these voices to bear directly on a very particular forested region of BC. Sometimes I think his arguments are stretched too thin -- perhaps he should have narrowed his critical approach -- but it's quite refreshing to see critical theory applied in this way.
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Add Spline Regression Models, Spline Regression Models shows the nuts-and-bolts of using dummy variables to formulate and estimate various spline regression models. For some researchers this will involve situations where the number and location of the spline knots are known in advance, Spline Regression Models to the inventory that you are selling on WonderClubX
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Add Spline Regression Models, Spline Regression Models shows the nuts-and-bolts of using dummy variables to formulate and estimate various spline regression models. For some researchers this will involve situations where the number and location of the spline knots are known in advance, Spline Regression Models to your collection on WonderClub |
