Some Recent Developments in Social Statistics, Correspondent Paper

Social statistics is not a clearly defined branch of the subject. In this first paper we shall therefore preface our review by a definition of the field with which this and subsequent articles will be concerned. Unlike biological statistics, which deals with statistical problems arising in biology, social statistics has a wider connotation than the statistics of sociology or social science. Traditionally it has been defined by its subject matter, that is with the quantitative aspects of health, welfare, education and employment, with migration, social and occupational mobility and with special topics arising out of these areas such as crime, poverty, leisure and manpower planning. In this sense many of the founding fathers of the subject were social statisticians including Graunt, Farr, Quetelet and Florence Nightingale. The Statistical Society of London (later to become the Royal Statistical Society) was founded in 1834 with the object of procuring, arranging and publishing 'Facts calculated to illustrate the Condition and Prospects of Society' limited as far as possible, to 'facts which can be stated numerically and arranged in tables'. The collection and dissemination of social statistics in this sense continues to be a vital function of national and interna-

[1]  Antony R. Unwin,et al.  Stochastic Models for Social Processes (3rd Edition) , 1982 .

[2]  I. Plewis Using Longitudinal Data to Model Teachers' Ratings of Classroom Behavior as a Dynamic Process , 1981 .

[3]  David D. McFarland Spectral Decomposition as a Tool in Comparative Mobility Research , 1981 .

[4]  O. Frank A Survey of Statistical Methods for Graph Analysis , 1981 .

[5]  J. Lehoczky Approximations for interactive Markov chains in discrete and continuous time , 1980 .

[6]  Wen-chen Chen On the Weak form of Zipf's law , 1980, Journal of Applied Probability.

[7]  S. McClean A semi-Markov model for a multigrade population with Poisson recruitment , 1980, Journal of Applied Probability.

[8]  P. Rogerson,et al.  Vacancy Chains, Information Filters, and Interregional Migration , 1980, Environment and Planning.

[9]  Karmeshu,et al.  Stochastic evolution of competing social groups , 1980 .

[10]  Sally McClean,et al.  Statistical Techniques for Manpower Planning. , 1980 .

[11]  Michael T. Hannan,et al.  Dynamic Analysis of Event Histories , 1979, American Journal of Sociology.

[12]  Paul M. Sommers,et al.  Eigenvalue immobility measures for Markov chains 1 , 1979 .

[13]  S. Wasserman Models for binary directed graphs and their applications , 1978, Advances in Applied Probability.

[14]  A. Shorrocks,et al.  The Measurement of Mobility , 1978 .

[15]  Denis Mollison,et al.  Markovian contact processes , 1978, Advances in Applied Probability.

[16]  John Conlisk,et al.  A stability theorem for an interactive Markov chain , 1978 .

[17]  Denis Mollison,et al.  Spatial Contact Models for Ecological and Epidemic Spread , 1977 .

[18]  G. Osei,et al.  The supersession of one rumour by another , 1977, Journal of Applied Probability.

[19]  Burton H. Singer,et al.  12 – Some Methodological Issues in the Analysis of Longitudinal Surveys1 , 1976 .

[20]  Burton H. Singer,et al.  The Representation of Social Processes by Markov Models , 1976, American Journal of Sociology.

[21]  Maureen T. Hallinan,et al.  A Stochastic Model for Change in Group Structure , 1976 .

[22]  D. J. Bartholomew,et al.  Continuous time diffusion models with random duration of interest , 1976 .

[23]  G. Whitmore,et al.  Management applications of the inverse gaussian distribution , 1976 .

[24]  Bruce M. Hill,et al.  The Rank-Frequency Form of Zipf's Law , 1974 .

[25]  F. Cannavale,et al.  An Analytical Model of the Passage of Defendants through a Court System , 1973 .

[26]  H. White Multipliers, Vacancy Chains, and Filtering in Housing , 1971 .

[27]  B. M. Hill,et al.  Zipf's Law and Prior Distributions for the Composition of a Population , 1970 .

[28]  Tore Thonstad,et al.  Education and manpower: Theoretical models and empirical applications , 1969 .

[29]  Nathan Keyfitz,et al.  Introduction to the mathematics of population , 1968 .

[30]  Torsten Hägerstrand,et al.  Innovation Diffusion As a Spatial Process , 1967 .

[31]  E. A. Maxwell,et al.  Introduction to Mathematical Sociology , 1965 .

[32]  W. R. Buckland,et al.  Random processes and the growth of firms , 1965 .

[33]  Frederick Mosteller,et al.  Stochastic Models for Learning , 1956 .