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  • Eugenics and the rise of mathematical statistics in Britain in Demystifying social statistics.
  • MacKENZIE, D.
  • Statistical models of fluvial systems
  • Channel geometry ; Fluvial processes ; Model ; Multivariate analysis ; Regression analysis ; Statistics
  • This paper assesses the utility of statistical models by examining methodological issues associated with empirical analysis of hydraulic and channel geometry relationships. It also describes and presents examples of advanced statistical models
  • PHILLIPS, J. D., (Editeur scientifique)
  • Adaptative expectations, the exponentially weighted forecast, and optimal statistical predictors: a revisit
  • BESSLER, D. A.
  • Statistics in geography: a practical approach
  • EBDON D.
  • Towards a theory of spatial statistics: a rejoinder
  • GRIFFITH, D. A.
  • An approximation for the rank adjacency statistic for spatial clustering with sparse data
  • Methodology ; Mortality ; Simulation ; Spatial analysis ; Spatial distribution ; Statistics
  • The rank adjacency statistic D provides a simple method to assess regional clustering. The usual normal approximation is found to give inaccurate results if the data are sparse and some regions have tied ranks. Ajusted formulae for the moments of D
  • The random topology model of channel networks : bias in statistical tests
  • ABRAHAMS, A. D.
  • MARK, D. M.
  • Aggregation ; Demographic structure ; Model ; Spatial analysis ; Statistical bias ; Statistics ; United Kingdom
  • Statistical models are proposed that capture the essential features of the structure of a population composed of geographically defined groups and can encompass grouping processes and contextual effects. They are used to show how small effects
  • HOLT, D.[b1]
  • [b1] Office for National Statistics, London, Royaume-Uni
  • Estimating spatial autoregressive model parameters with commercial statistical packages
  • GRIFFITH, D. A.
  • Suburbanization of higher income Blacks in major metropolitan statistical areas
  • WINSBERG, M. D.
  • The boundary value problem in spatial statistical analysis
  • GRIFFITH, D. A.
  • A new perspective on forecasting store sales: applying statistical models and techniques in the analog approach
  • ROGERS, D. S.
  • The effects of land reform on agricultural production, employment, and income distribution: a statistical study of Mexican States 1959-69
  • GUYEN, D. T.
  • The significants of significance tests in Demystifying social statistics.
  • JARRETT, D.
  • A statistical approach to the problem of missing spatial data using a first-order Markov Model
  • GRIFFITH, D. A.
  • An evaluation of correction techniques for boundary effects in spatial statistical analysis: contemporary methods
  • GRIFFITH, D. A.
  • Ratios and absolute amounts conveyed by a stepped statistical surface
  • CUFF, D. J.
  • Spatial statistics and modeling
  • Computer-assisted mapping;Automatic cartography ; Computing ; Economic indicators ; Economic structure ; Geographical information system ; Social indicators ; Spatial analysis ; Spatial statistics ; United Kingdom
  • that overcome many of these difficulties, and can be used as a basis for spatial statistics and modeling of socioeconomic phenomena.
  • MARTIN, D.
  • Identification of strength equilibrium rock slopes : further statistical considerations
  • to delimit the envelope are reviewed and modifications are proposed that permit its more rigorous statistical definition. The structural relation between the variables is estimated by regressing RMS on O, and the strength equilibrium envelope is defined
  • ABRAHAMS, A. D.
  • Compte rendu critique de quatre ouvrages: EBDON (D.), Statistics in geography: a practical approach, Oxford: Basil Blackwell, 200p.| LEWIS (P.), Maps and statistics, London: Methuen, 330p.| NORCLIFFE (G. B.), Inferential Statistics for geographers