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The logic of least squares
Barnard, G. A. - In: Journal of the Royal Statistical Society 25 (1963) 1, pp. 124-127
Persistent link: https://www.econbiz.de/10003483351
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A generalized least-squares approach to linear functional relationship
Sprent, P. - In: Journal of the Royal Statistical Society 28 (1966) 2, pp. 278-297
Persistent link: https://www.econbiz.de/10003684518
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Subsidiary sequences for solving Leserʹs least-squares graduation equations
Joseph, A. W. - In: Journal of the Royal Statistical Society 24 (1962) 1, pp. 112-117
Persistent link: https://www.econbiz.de/10003593883
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Present position and potential developments : some personal views ; design of experiments and regression
Cox, D. R. - In: Journal of the Royal Statistical Society 147 (1984) 2, pp. 306-315
Persistent link: https://www.econbiz.de/10003520313
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Likelihood and cost as path integrals
Whittle, Peter - In: Journal of the Royal Statistical Society 53 (1991) 3, pp. 505-529
Persistent link: https://www.econbiz.de/10001115413
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Sound confidence intervals in the heteroscedastic linear model through releveraging
Dorfman, Alan H. - In: Journal of the Royal Statistical Society 53 (1991) 2, pp. 441-452
Persistent link: https://www.econbiz.de/10001115416
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Automated kernel smoothing of dependent data by using time series cross-validation
Hart, Jeffrey D. - In: Journal of the Royal Statistical Society 56 (1994) 3, pp. 529-542
Persistent link: https://www.econbiz.de/10001160559
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Consistent order determination for processes with infinite variance
Bhansali, R. J. - In: Journal of the Royal Statistical Society 50 (1988) 1, pp. 46-60
Persistent link: https://www.econbiz.de/10001048432
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Leave-k-out diagnostics for time series
Bruce, Andrew G. - In: Journal of the Royal Statistical Society 51 (1989) 3, pp. 363-401
Persistent link: https://www.econbiz.de/10001070261
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On the use of marginal likelihood in time series model estimation
Tunnicliffe-Wilson, Granville - In: Journal of the Royal Statistical Society 51 (1989) 1, pp. 15-27
Persistent link: https://www.econbiz.de/10001094909