Last edited by Samulrajas

5 edition of **A simplified guide to using statistical techniques with computer applications** found in the catalog.

A simplified guide to using statistical techniques with computer applications

Margaret N. Morrison

- 43 Want to read
- 28 Currently reading

Published
**1986**
by Prentice-Hall in Englewood Cliffs, N.J
.

Written in English

- Mathematical statistics -- Data processing.

**Edition Notes**

Includes index.

Statement | Margaret N. Morrison. |

Classifications | |
---|---|

LC Classifications | QA276.4 .M68 1986 |

The Physical Object | |

Pagination | viii, 206 p. : |

Number of Pages | 206 |

ID Numbers | |

Open Library | OL2710541M |

ISBN 10 | 013810185X |

LC Control Number | 86003242 |

OCLC/WorldCa | 13217922 |

This book includes some of the most important statistical techniques through important modeling and prediction techniques along with using the relevant application and it includes topics such as classifications, resampling methods, classifications, shrinkage approaches, support vector machine, tree-based method, clustering, linear regression. Very much a users-guide, this book provides insight to the use of preconditioning techniques in areas such as acoustic wave scattering, image restoration and bifurcation problems from electrical power stations. Supporting MATLAB files are available via the Web to assist and develop readers' understanding, and provide stimulus for further study.

Focus on using only as many words as necessary to get your point across. Use visual aids: Screenshots, diagrams and even videos are a great way to beef up your manual and make it . Also, to discover in which contexts and applications the 40 techniques below are used, I invite you to read the following articles: 21 data science systems used by Amazon to operate its business; 24 Uses of Statistical Modeling; Finally, when using a technique, you need to test its performance.

Formulas — you just can’t get away from them when you’re studying statistics. Here are ten statistical formulas you’ll use frequently and the steps for calculating them. Proportion Some variables are categorical and identify which category or group an individual belongs to. For example, “relationship status” is a categorical variable, and an individual could be [ ]. A simple guide to IRT and Rasch 4 parameter and the person theta in IRT. We will discuss them later. In short, both the item attribute and the examinee proficiency should be taken into consideration in order to conduct item calibration and proficiency estimation. This is an iterative process in the sense that tentative.

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