1. |
The Relationship between Family Size and Family Expenditure |
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Journal of the Statistical Society of London,
Volume 123,
Issue 4,
2018,
Page 367-393
F. G. Forsyth,
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摘要:
SummaryResults of the Ministry of Labour's 1953–54 Household Expenditure enquiry are used to test whether the expenditure differences between different sizes of family can be explained by an equivalent scale hypothesis. The Engel curves for four homogeneous types of family household are fitted to 12 broad commodity groupings making up total household expenditure. A number of different mathematical expressions are used for the Engel curves to test their fitting powers and to choose one for the test of the hypothesis.The test is carried out in two stages. The full model embodying the hypothesis is given, but in the first stage no attempt is made to estimate the constants which represent the family composition effects. For all the family types least‐square regressions are fitted to the expenditures on all 12 commodities and analyses of variance are carried out which throw some light on the performance of the model. The results of this stage, while not wholly encouraging, do not condemn the hypothesis out of hand and at least justify proceeding with the next stage.The regression constants calculated in the first stage are used in the estimation of the family composition parameters. The estimation argument leads to the important result that it is impossible, with these kinds of data, to estimate two independent parameters representing respectively the “direct” effect of a change in family size on expenditure and the “indirect” effect through the alteration in the family's standard of living. The model is simplified by including only one parameter for the family composition effect for each commodity and this is calculated and used to derive a set of fitted curves for all family types for all commodities. These are drawn on top of the observed expenditure curves for graphical comparison. It is then obvious that the hypothesis fails to explain the differences in family expenditure over the whole budget.
ISSN:0959-5341
DOI:10.2307/2343271
出版商:Wiley
年代:2018
数据来源: WILEY
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2. |
Discussion on Mr Forsyth's Paper |
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Journal of the Statistical Society of London,
Volume 123,
Issue 4,
2018,
Page 393-397
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ISSN:0959-5341
DOI:10.1111/j.2397-2327.1960.tb00702.x
出版商:Wiley
年代:2018
数据来源: WILEY
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3. |
An Experimental Investigation of the Robustness of Certain Procedures for Estimating Means and Regression Coefficients† |
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Journal of the Statistical Society of London,
Volume 123,
Issue 4,
2018,
Page 398-412
D. G. Champernowne,
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摘要:
SummaryThis paper describes an investigation of the misleading conclusions which may result from the uncritical use of orthodox procedures of estimation of populations means and regression coefficients, when the underlying conditions theoretically required if the procedures are to be reliable are in various ways unsatisfied. This investigation was based on the use of the random number facility in a Mercury digital computer.
ISSN:0959-5341
DOI:10.2307/2343272
出版商:Wiley
年代:2018
数据来源: WILEY
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4. |
Statistical Problems Connected with the 1961 Population Census† |
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Journal of the Statistical Society of London,
Volume 123,
Issue 4,
2018,
Page 413-426
B. Benjamin,
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ISSN:0959-5341
DOI:10.2307/2343273
出版商:Wiley
年代:2018
数据来源: WILEY
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5. |
Output and Productivity Changes in British Manufacturing Industry, 1948–1954: A Study from Census of Production Data |
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Journal of the Statistical Society of London,
Volume 123,
Issue 4,
2018,
Page 427-459
R. J. Nicholson,
S. Gupta,
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摘要:
SummaryIn Part I the method adopted for computing output index numbers from Census of Production data is described and some conceptual problems are discussed. Index numbers for 138 manufacturing industries weighted both by 1948 and 1954 prices are presented in Part II. The implications of re‐weighting are considered and comparisons are made with the official index. Part III examines the relationships between changes in productivity, output, prices and earnings and considers the influence of changes in industrial structure on productivity in manufacturing industry.
ISSN:0959-5341
DOI:10.2307/2343274
出版商:Wiley
年代:2018
数据来源: WILEY
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6. |
Regulations of the Medical Section† |
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Journal of the Statistical Society of London,
Volume 123,
Issue 4,
2018,
Page 460-461
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ISSN:0959-5341
DOI:10.1111/j.2397-2327.1960.tb00706.x
出版商:Wiley
年代:2018
数据来源: WILEY
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7. |
Annual Report of the Council |
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Journal of the Statistical Society of London,
Volume 123,
Issue 4,
2018,
Page 462-480
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ISSN:0959-5341
DOI:10.1111/j.2397-2327.1960.tb00707.x
出版商:Wiley
年代:2018
数据来源: WILEY
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8. |
Proceedings of the One Hundred and Twenty‐Sixth Annual General Meeting of the Royal Statistical Society |
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Journal of the Statistical Society of London,
Volume 123,
Issue 4,
2018,
Page 481-481
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PDF (45KB)
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ISSN:0959-5341
DOI:10.1111/j.2397-2327.1960.tb00708.x
出版商:Wiley
年代:2018
数据来源: WILEY
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9. |
The Analysis of Variance |
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Journal of the Statistical Society of London,
Volume 123,
Issue 4,
2018,
Page 482-483
D. R. Cox,
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摘要:
1.—The Analysis of Variance. By H. Scheffé. New York, Wiley, 1959; London, Chapman&Hall, [1960], xvi, 477 p. 9″. 112s.
ISSN:0959-5341
DOI:10.2307/2343278
出版商:Wiley
年代:2018
数据来源: WILEY
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10. |
Characteristic Functions |
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Journal of the Statistical Society of London,
Volume 123,
Issue 4,
2018,
Page 484-484
D. G. Kendall,
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摘要:
2.—Characteristic Functions. By E. Lukacs. London, Griffin, 1960. 216 p.812″. 38s. (Griffin's Statistical Monographs and Courses No. 5, edited by M. G. Kendall.)
ISSN:0959-5341
DOI:10.2307/2343279
出版商:Wiley
年代:2018
数据来源: WILEY
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