Linear Estimation

N. R. Mohan Madhyastha (), S. Ravi and A. S. Praveena
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N. R. Mohan Madhyastha: University of Mysore, Department of Studies in Statistics
S. Ravi: University of Mysore, Department of Studies in Statistics
A. S. Praveena: University of Mysore, Department of Studies in Statistics

Chapter Chapter 1 in A First Course in Linear Models and Design of Experiments, 2020, pp 1-17 from Springer

Abstract: Abstract In many Linear estimationmodeling problems, a response variable is modeled as a function of one or more independent or explanatory variables. The linear function of the explanatory variables along with a random error term has been found useful and applicable to many problems, for example, the weight of a newborn human baby as a function of the circumference of her head or shoulder, the price of crude oil as a function of currency exchange rates, the length of elongation of a weighing spring as a function of the loaded weight, and whatnot. Many such and similar problems are modeled using a linear model.

Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-15-8659-0_1

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DOI: 10.1007/978-981-15-8659-0_1

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