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The ultrastructural relation: A synthesis of the functional and structural relations

Autor: G. R. Dolby

Publikováno v: Biometrika. 63:39-50

SUMMARY: A maximum likelihood solution is presented for a model which is a synthesis of the linear functional and structural relations. In the replicated case, the slope estimate is a root of a quadratic equation, the coefficients of which are symmet

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::39a0202b856820c339930e393d78c6db
https://doi.org/10.1093/biomet/63.1.39

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On fitting bivariate functional relationships to unpaired and unequally replicated data

Autor: D. F. Sinclair, R. M. Cormack, G. R. Dolby

Publikováno v: Biometrika. 74:393-399

SUMMARY We study the linear functional relationship with certain special features: a lack of pairing between observations xij and Yik, and disparate numbers of observations, mi observations on xi, ni on yi. We discuss five models, distinguished mainl

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::dabd7ca32219d97f7624abec843b27bf
https://doi.org/10.1093/biomet/74.2.393

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Comparison between pressure-volume and dewpoint-hygrometry techniques for determining the water relations characteristics of grass and legume leaves

Autor: M. M. Ludlow, M. J. Fisher, Ernst Detlef Schulze, J. R. Wilson, G. R. Dolby

Publikováno v: Oecologia. 41:77-88

The water relations characteristics of three grass species (Panicum maximum var. trichoglume, Cenchrus ciliaris, Heteropogon contortus), and a legume (Macroptilium atropurpureum) grown in the field were measured using both a modified pressure/volume

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ba753420d36f98578cfdd3d020af25a0
https://doi.org/10.1007/bf00344838

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Generalized Least Squares and Maximum Likelihood Estimation of Non-Linear Functional Relationships

Autor: G. R. Dolby

Publikováno v: Journal of the Royal Statistical Society: Series B (Methodological). 34:393-400

SUMMARY A non-linear functional relationship between two mathematical variables is postulated. Departures of observed random variates from the mathematical variable values are assumed to have zero mean and general but known covariance matrix. Assumin

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2b40f7ea5c1aa50a1df73ff6d542547b
https://doi.org/10.1111/j.2517-6161.1972.tb00917.x

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Maximum likelihood estimation of the general nonlinear functional relationship with replicated observations and correlated errors

Autor: G. R. Dolby, S. Lipton

Publikováno v: Biometrika. 59:121-129

SUMMARY: The problem considered is that of estimating a p-parameter functional relationship η = η(ξ;α, ..., α given replicated observations at each of n unknown values of the independent variable ξ. The errors of observation at (ξ, η) are ass

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::55589404fe49c0f79e844a381e1f134f
https://doi.org/10.1093/biomet/59.1.121

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The Role of Statistics in the Methodology of the Life Sciences

Autor: G. R. Dolby

Publikováno v: Biometrics. 38:1069

Sir Karl Popper has oHered a demarcation between science and pseudoscience: a discipline is a science only if the theories it entertains are universal and falsifiable. Its laws are those theories which to date have survived attempts at falsification.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a496ba1080fab601972d06c1911f3d8f
https://doi.org/10.2307/2529889

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The Connection Between Methods of Estimation in Implicit and Explicit Nonlinear Models

Autor: G. R. Dolby

Publikováno v: Applied Statistics. 25:157

This paper establishes the connection between the methods of Britt and Luecke (1973) and Dolby (1972) for obtaining maximum likelihood (ML) estimates of the parameters of nonlinear functional relationships. Britt and Luecke postulated an implicit fun

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8c852d88728356ea86e4d13bee65e545
https://doi.org/10.2307/2346685

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