Stacey, Brian
(2015):
*Fukushima: The Failure of Predictive Models.*

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## Abstract

Linear regression is an attempt to build a model from existing data. It uses the existing data to fit a linear equation that exhibits the least error from the actual points. Even within the existing data, a regression equation has limited ability to predict actual dependent variable values. Linear regression is limited in several ways; it assumes only linear relationships between variables, it is very sensitive to outliers, and data points must be independent. If any of these assumptions are not met the models get less accurate. Often random error (residuals) are enough to reduce the quality of fit of the equation to where it is unable to predict any values within the range of the original data except (x ̅,y ̅). Even with the best coefficient of determination (R2=1), data within the sample set may not be indicative of the condition outside the sample set.

Item Type: | MPRA Paper |
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Original Title: | Fukushima: The Failure of Predictive Models |

Language: | English |

Keywords: | Regression, Residual Errors, Prediction, Earthquake, Fukushima |

Subjects: | C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C13 - Estimation: General C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C51 - Model Construction and Estimation |

Item ID: | 69383 |

Depositing User: | Brian Stacey |

Date Deposited: | 10 Feb 2016 06:13 |

Last Modified: | 27 Sep 2019 21:16 |

References: | Flom, P. (2011, June 8). The Disadvantages of Linear Regression. Retrieved March 29, 2015, from http://www.ehow.com/info_8562780_disadvantages-linear-regression.html Green, S. (1991). How Many Subjects Does It Take To Do A Regression Analysis. Multivariate Behavioral Research, 26(3), 499-510. Retrieved March 29, 2015, from http://www.tandfonline.com/doi/abs/10.1207/s15327906mbr2603_7#.VRg0GPnN8mk Kamer-Ainur, A. (2007, January 1). Errors and Limitations Associated With Regression and Correlation Analysis. Retrieved March 29, 2015, from http://steconomiceuoradea.ro/anale/volume/2007/v2-statistics-and-economic-informatics/1.pdf Ragheb, M. (2012, March 28). Fukushima Earthquake and Tsunami Station Blackout Accident. Retrieved March 31, 2015, from http://mragheb.com/NPRE 457 CSE 462 Safety Analysis of Nuclear Reactor Systems/Fukushima Earthquake and Tsunami Station Blackout Accident.pdf Reactor restarts would aid Japanese recovery. (2014, July 28). Retrieved April 1, 2015. Silver, N. (2012). The signal and the noise: Why so many predictions fail--but some don't. New York, NY: Penguin Press. Verma, M., Chahal, G., & Murty, B. (1978). Limitations of conventional regression analysis a proposed modification. Theoretical and Applied Genetics, 53(2), 89-91. Retrieved March 29, 2015, from http://link.springer.com/article/10.1007/BF00817837 |

URI: | https://mpra.ub.uni-muenchen.de/id/eprint/69383 |