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Estimation for a linear growth model

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  • Quine, M. P.
  • Robinson, J.

Abstract

We consider the problem of estimating the intensity and growth rate parameters [lambda] and [nu] in a linear growth model. The arrival times of the first two points are used to get initial estimates, then maximum likelihood estimates are obtained. The method is applied to some simulated data and to some real data from experiments in neural biology.

Suggested Citation

  • Quine, M. P. & Robinson, J., 1992. "Estimation for a linear growth model," Statistics & Probability Letters, Elsevier, vol. 15(4), pages 293-297, November.
    • Handle: RePEc:eee:stapro:v:15:y:1992:i:4:p:293-297
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    Cited by:

    1. S. N. Chiu & M. P. Quine & M. Stewart, 2000. "Nonparametric and Parametric Estimation for a Linear Germination-Growth Model," Biometrics, The International Biometric Society, vol. 56(3), pages 755-760, September.
    2. Chiu, S. N., 1997. "A central limit theorem for linear Kolmogorov's birth-growth models," Stochastic Processes and their Applications, Elsevier, vol. 66(1), pages 97-106, February.

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