00000cmm a22000004a 4500 UP-99796217611190506 Buklod 20140416090537.0 m go j cr cn |||aaaaa 110110s2011 xx u | eng d 9783642160431 (eBook) 3642160433 (eBook) (iLib)UPD-00214607316 DLC DML eng DMLUC Griffith, Daniel A. Non-standard spatial statistics and spatial econometrics [electronic resource] by Daniel A. Griffith, Jean H. Paul Paelinck. Berlin, Heidelberg Springer 2011. 1 online resource (xxxv, 262 p.) ill. Part 1. Non-standard spatial statistics -- 1. Introduction: spatial statistics, - 2. Individual versus ecological analyses -- 3. Statistical models for spatial data: some linkages and communalities -- 4. Frequency distributions for simulated spatially autorcorrelated random variable -- 5. Understanding correlations among spatial random variables -- 6. Spatially structured random effects: a comparison of three popular specifications -- 7. Spatial filter versus conventional spatial model specifications: some comparisons -- 8. The role of spatial of autocorrelation in prioritizing sites within a geographic landscape -- 9. General spatial statistics conclusions -- 10. References: spatial statistics (Part 1) Part 2. Non-standard spatial econometrics -- 11. Introduction: spatial econometrics -- 12. Mixed linear-logarithmetic specification for Lotka-Volterra models with endogenously generated SDLS-variables -- 13. Selecting spatial regimes by threshold analysis -- 14. Finite automata -- 15 Learning from residuals -- 16. Verhulst and Poisson distributions -- 17. QUARLIREG: qualitative regression and its application to spatial data -- 18. Filtering complexity for observational errors and spatial bias -- 19. General spatial econometrics conclusions -- 20. References: spatial econometrics (Part 2). IP-based subscription, access limited to within on-campus computer network. Access via Electronic Resources of the UPD University Library Website. Despite spatial statistics and spatial econometrics both being recent sprouts of the general tree spatial analysis with measurement some may remember the debate after WWII about theory without measurement versus measurement without theory several general themes have emerged in the pertaining literature. But exploring selected other fields of possible interest is tantalizing, and this is what the authors intend to report here, hoping that they will suscitate interest in the methodologies exposed and possible further applications of these methodologies. The authors hope that reactions about their publication will ensue, and they would be grateful to reader(s) motivated by some of the research efforts exposed hereafter letting them know about these experiences. Electronic reproduction. New York SpringerLink 2011. Available via World Wide Web through SpringerLink. Spatial analysis (Statistics). Space in economics Statistical methods. Econometrics. Electronic books. Paelinck, Jean H. Paul. SpringerLink (Online service). Available for University of the Philippines Diliman via SpringerLink. Click here to access http://link.springer.com/book/10.1007/978-3-642-16043-1 FO Monograph UPD DMLR Electronic Resource