A Fortran Program for Determining an Empirical Expression or a Quantity

Mary Nan Steel, Frank L. McCrackin

ISBN 10: 1390539482 / ISBN 13: 9781390539486

Published by Forgotten Books, 2024

About this Item

Print on Demand. This book explores the use of mathematical formulas to establish an empirical relationship between measured quantities. The author presents multiple formulas applicable when measurements of the dependent variable are available at various combinations of several levels of each of two independent variables. A detailed description of the computer programs used in conjunction with these formulas is provided, along with solutions to various problems meticulously explained step-by-step. The author positions the subject within a wider context by discussing how it relates to other statistical methods. From the data analysis to the interpretation of parameters and coefficients, this book offers a comprehensive guide to the analysis of variables using mathematical formulas. 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.

Seller Inventory # 9781390539486_0

Bibliographic Details

• Title: A Fortran Program for Determining an Empirical Expression or a Quantity
• Publisher: Forgotten Books
• Publication Date: 2024
• Language: English
• ISBN 10: 1390539482
• ISBN 13: 9781390539486
• Binding: Paperback
• Condition: New
• Book Type: print-on-demand item
• Seller catalogs:
  • Statistics

About this title

Synopsis

Find the mathematical link between two variables and a measured quantity.

This technical note presents a Fortran program that builds empirical expressions for data collected at combinations of two variables. It explains how to organize data, run the computations, and interpret the results.

The book walks you through practical data layouts, including cases with a single value per cell and with replicates. It also covers options to modify data, interpret output, and understand the role of variance, significance tests, and residuals in the analysis. With tables, appendices, and step-by-step instructions, you can apply the procedure to your own experiments.

• How to prepare data for computer input and what the program can compute
• Different modeling approaches, including linear and quadratic models
• How to modify data, omit or transform observations, and generate diagnostics
• How to read the computer output, including variance components and significance tests

Ideal for researchers and practitioners who need a structured, repeatable way to fit empirical expressions to two-variable data and to assess the reliability of the results.