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Linear Estimation

In: A First Course in Linear Models and Design of Experiments

Author

Listed:
  • 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)

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.

Suggested Citation

  • N. R. Mohan Madhyastha & S. Ravi & A. S. Praveena, 2020. "Linear Estimation," Springer Books, in: A First Course in Linear Models and Design of Experiments, chapter 0, pages 1-17, Springer.
    • Handle: RePEc:spr:sprchp:978-981-15-8659-0_1
    DOI: 10.1007/978-981-15-8659-0_1
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