Introduction to Starpac: The Standards Time Series and Regression Package

Language: English

Published by Forgotten Books, 2024

0365563021 / 9780365563020

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Print on Demand. This book is a guide to STARPAC, a comprehensive library of subroutine programs that perform statistical data analysis. Designed initially for time series analysis and nonlinear least squares regression, it has since been expanded to include functions for random number generation, line printer plots, basic statistical analyses, linear least squares regression, and nonlinear optimization. The author emphasizes the statistical interpretation of analytic results, incorporating comprehensive printed reports of statistical information to augment the basic computations performed by each program. This user-friendly guide provides extensive error-checking facilities, including printed reports and a program-accessible error flag variable. Significantly, the author's emphasis on the statistical interpretation of results, distinguishes STARPAC from other statistical software programs by providing not only computational power but also guidance in facilitating the understanding of complex statistical concepts. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book.…

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Title
Introduction to Starpac: The Standards Time Series and Regression Package
Author
Janet R. Donaldson, Peter V. Tryon
Publisher
Forgotten Books
Publication year
2024
Condition
New
Book Type
print-on-demand item
Binding
Paperback
Language
English
ISBN 10
0365563021
ISBN 13
9780365563020
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Forgotten Books

London, United Kingdom

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Forgotten Books’ Classic Reprint Series utilizes the latest technology to regenerate facsimiles of historically important writings. Careful attention has been made to accurately preserve the original format of each page whilst digitally enhancing the quality of the aged text.

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