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Population forecasting

Pollard, J. H. - In: Symposium on forecasting, (pp. 1-27). 1969

Persistent link: https://www.econbiz.de/10003652806

The application of the chi-square test of goodness-of-fit to mortality data graduaded by summation formulae

Pollard, J. H. - In: Journal of the Institute of Actuaries 97 (1971) 2/3, pp. 325-330

Persistent link: https://www.econbiz.de/10002654511

Continuous-time and discrete-time models of population growth

Pollard, J. H. - In: Journal of the Royal Statistical Society 132 (1969) 1, pp. 80-88

Persistent link: https://www.econbiz.de/10002654519

A Taylor series expansion for Lotka's r.

Pollard, J. H. - In: Demography : a publication of the Population … 7 (1970) 2, pp. 151-154

Persistent link: https://www.econbiz.de/10002654537

Application of matrix methods to pension funds

Pollard, J. H.; Sherris, M. - 1978

Persistent link: https://www.econbiz.de/10003653561

Application of matrix methods of Life Assurance Funds

Pollard, J. H.; Sherris, M. - In: Transactions of the International Congress of Actuaries 1 (1980), pp. 295-306

Persistent link: https://www.econbiz.de/10002654495

Adaptive Line Transect Sampling

Pollard, J. H.; Palka, D.; Buckland, S. T. - In: Biometrics 58 (2002) 4, pp. 862-870

Persistent link: https://www.econbiz.de/10010947150

On the use of the truncated Gompertz distribution and other models to represent the parity progression functions of high fertility populations

Pollard, J. H.; Valkovics, E. J. - In: Mathematical Population Studies 6 (1997) 4, pp. 291-305

The Gompertz distribution, developed from the mortality “law”; long used by actuaries and demographers promises to be a useful distribution for many other demographic purposes as well. The continuous distribution can also be adapted to represent discrete data commonly encountered in...

Persistent link: https://www.econbiz.de/10009205501