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December 1, 1965Biometrika

The theory of least squares when the parameters are stochastic and its application to the analysis of growth curves

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Authors

CRC. Radhakrishna RaoFudan University

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Implication

Journal article investigates stochastic parameters in least squares for growth curves, suggesting new statistical methods.

Key Points

  • The research aims to explore how stochastic parameters influence the theory of least squares in analyzing growth curves.
  • Developed a theoretical framework for least squares under stochastic parameters.
  • Applied statistical analysis to growth curve models.
  • Demonstrated improvements in growth curve fitting using stochastic parameter considerations.
  • Provided a mathematical foundation for future statistical applications in growth analysis.

Cite This Study

C. Radhakrishna Rao (1965) studied this question.

synapsesocial.com/papers/6a10cd0eba20d9a181ee5049https://doi.org/10.1093/biomet/52.3-4.447
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