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1960-1969

    1969

  1. BC Brookes (1969), "Bradford's law and the bibliography of science", Nature, 22(5523):953-956.
    [Bradford's law]

  2. RA Fairthorne (1969), "Empirical hyperbolic distributions (Bradford Zipf Mandelbrot) for bibliometric description and prediction", Journal of Documentation, 25:319-343.

  3. HM Hochman, JD Rodgers (1969), "Pareto optimal redistribution", American Economic Review, 59:542-557.
    [Pareto's principle]

  4. RA Raimi (1969), "The peculiar distribution of first digits", Scientific American, 221:109-119.
    [Benford law]

  5. RL Trueswell (1969), "Some behavioral patterns of library users: the 80/20 rule", Wilson Libr Bull, 43(5):458-461.
    [Pareto's principle]

    1968

  6. BC Brookes (1968), "The derivation and application of the Bradford-Zipf distribution", Journal of Documentation, 24:247-265.

  7. Carl M Harris (1968), "The Pareto distribution as a queue service discipline", Operations Research, 16(2):307-313.
    [Pareto's principle]

    1967

  8. AD Booth (1967), "A law of occurrences for words of low frequency", Information and Control, 10:386-393.
    [ abstract]

  9. Henry Kucera, W Nelsen Francis (1967), Computational Analysis of Present-Day American English (Brown University Press).
    [out of print]

  10. JR Lasuen, A Lorca, J Oria (1967), "City size distribution and economic growth", Ekistics, 24:221-226.

  11. FF Leimkuhler (1967), "The Bradford distribution", Journal of Documentation, 23:197-207.
    [Bradford's law and Leimkujler function]

  12. J Woronczak (1967), "On an attempt to generalize Mandelbrot's distribution", in To Honor Roman Jakobson Volume 3, pp.2254-2269 (Mouton, Hague).

    1966

  13. Kenneth E Rosing (1966), "A rejection of the Zipf model (rank size rule) in relation to city size", The Professional Geographer, 18(2):75-82.

    1965

  14. E Fama (1965), "Portfolio analysis in a stable Paretian market", Management Science, 11:404-419.

  15. BB Mandelbrot (1965), "Information theory and psycholinguistics", in Scientific Psychology: Principles and Approaches, eds. B. Wolman, E. Nagel (Basic Books), pp.550-562.

    1964

  16. William R. Catton, Jr., R. J. Smircich (1964), "A comparison of mathematical models for the effect of residential propinquity on mate selection", American Sociological Review, 29(4):522-529.
    [ abstract]

    1963

  17. N Bhattacharya (1963), "A property of the Pareto distribution", Sankhy: The Indian Journal of Statistics, Series B, 25(34):195-196.
    [Pareto's principle]

  18. BB Mandelbrot (1963), "The variation of certain speculative prices", Journal of Business, 26:394-419.

  19. BB Mandelbrot (1963), "New methods in statistical economics", Journal of Political Economy, 71:421-440.

  20. GA Miller, N Chomsky (1963), in Handbook of Mathematical Psychology II, eds, R. Luce, R. Bush, E. Galanter (Wiley), pp. 419-491.

  21. HA Simon, T van Wormer (1963), "Some Monte Carlo estimates of the Yule distribution", Behavioral Science, 8:203-210.
    [Yule's distribution]

  22. B Ward (1963), "City structure and interdependence", Papers of the Regional Science Association, 10:207-221.

    1961

  23. BJL Berry (1961), "City size distribution and economic development", Economic Development and Culture Change, 9:573-588.

  24. MG Kendall (1961), "Natural law in the social sciences", Journal of the Royal Statistical Society A, 124:1-16.

  25. BB Mandelbrot (1961), "Final note on a class of skew distribution functions: analysis and critique of a model due to H.A. Simon", Information and Control, 4:198-216.
    [ Abstract: We shall restate in detail our 1959 objections to Simon's 1955 model for the Pareto-Yule-Zipf distribution. Our objections are valid quite irrespectively of the sign of p-1, so that most of Simon's (1960) reply was irrelevant. We shall also analyze the other points brought up in that reply. ]

  26. BB Mandelbrot (1961), "Post scriptum to 'final note'", Information and Control, 4:300-304.
    [ Abstract: My criticism has not changed since I first had the privilege of commenting upon a draft of Simon (1955).]

  27. HA Simon (1961), "Reply to 'final note' by Benoit Mandelbrot", Information and Control, 4:217-223.
    [ Abstract: Dr. Mandelbrot's original objection (1959) to using the Yule process to explain the phenomena of word frequencies were refuted in Simon (1960), and are now mostly abandoned. The present "reply" refutes the almost entirely new arguments introduced by Dr. Mandelbrot in his "final note", and demonstrates again the adequacy of the models in (1955). ]

  28. HA Simon (1961), "Reply to Dr. Mandelbrot's post scriptum", Information and Control, 4:305-308.
    [ Abstract: Dr. Mandelbrot has proposed a new set of objections to my 1955 models of the Yule distribution. Like his earlier objections, these are invalid.]
    [Editorial note: Dr. Mandelbrot feels that no further comment is needed and this debate terminates herewith.]

  29. W Skalmowski (1961), "Polskie przeklady Hafiza w swietle prawa Zipfa-Mandelbrota", Sprawozdania Kom. Orient. PAN 125-127.

    1960

  30. KG Hagstroem (1960), "Remarks on Pareto distributions", Skandinavisk Aktuarietidskrift, 43:59-71.
    [Pareto's principle]

  31. B Mandelbrot (1960), "The Pareto-Levy law and the distribution of income", International Economic Review, 1:79-106.
    [Pareto's principle]

  32. HA Simon (1960), "Some further notes on a class of skew distribution functions", Information and Control, 3:80-88.
    [ Abstract: This note takes issue with a recent criticism by Dr. B. Mandelbrot of a certain stochastic model to explain word-frequency data. Dr. Mandelbrot's principal empirical and mathematical objections to the model are shown to be unfounded. A central question is whether the basic parameter of the distributions is larger or smaller than unity. The empirical data show it is almost always very close to unity, Sometimes slightly larger, sometimes smaller. Simple stochastic models can be constructed for either case, and give a special status, as a limiting case, to instances where the parameter is unity. More generally, the empirical data can be explained by two types of stochastic models as well as by models assuming efficient information coding. The three types of models are briefly characterized and compared. ]