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Analysis of Variance, Design, and Regression: Applied Statistical Methods
15 references·7 citing·31 second hop
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References

  • 1988Empirical Model Building and Response Surfaces5,235 cited
  • 1991An Introduction to Applied Geostatistics4,592 cited
  • 2002Introduction to Time Series and Forecasting3,913 cited
  • 1981Spatial statistics2,866 cited
  • 1983Spatial Processes, Models and Applications2,628 cited
  • 2007Multiple Factor Analysis2,578 cited
  • 1994Statistics for Spatial Data, Revised Edition.1,875 cited
  • 1973The intrinsic random functions and their applications1,499 cited
  • 1954ON STATIONARY PROCESSES IN THE PLANE1,496 cited
  • 1985Fitting variogram models by weighted least squares1,061 cited
  • 1984Maximum Likelihood Estimation of Models for Residual Covariance in Spatial Regression851 cited
  • 1988Spatial prediction and ordinary kriging596 cited
  • 1993A Bayesian Analysis of Kriging585 cited
  • 1971A Bayesian Approach to Short-term Forecasting213 cited
  • 1980Interpreting the Likelihood Ratio Statistic in Factor Models When Sample Size is Small206 cited

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  • 2012Emotional intelligence as a moderator in the stress-burnout relationship : a questionnaire study on nurses.

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137 cited
  • 2007Bifacial Cores and Flake Production Efficiency: An Experimental Test of Technological Assumptions97 cited
  • 2011Active Travel to School and Physical Activity Levels of Irish Primary Schoolchildren26 cited
  • 2019An Analysis of Factors Influencing Employee Job Satisfaction in a Public Sector15 cited
  • 2003Product diversification in the vehicles industry: a techno-economic analysis9 cited
  • 2014Educated and satisfied worker: Foundation of modern and successful company8 cited
  • 2018The impact of strategic planning process on job satisfaction in public enterprises3 cited