TY - JOUR
AU - Barnard, G. A.
AB - 262 [Part 2, Reviews 1. Gillies, D. A. An Objective Theory of 11. Schmalensee, R. Applied Micro-eco­ Probability, p. 262 nomics, p. 271. 2. Hollander, M. and Wolfe, D. A. 12. Loveday, R. Statistical Mathematics, Nonparametric Statistical Methods, p.272. p.264. 13. Floud, R. An Introduction to Quanti­ 3. Sokal, R. R. and Rohlf, J. F. Intro­ tative Methods for Historians, p. 273. duction to Biostatistics, p. 265. 14. Singer, J. D. and Small, M. The 4. Zellner, A. An Introduction to Bayesian Wages of War, 1816-1965, p. 274. Inference in Econometrics, p. 265. 15. Hastings, N. A. J. Dynamic Program­ 5. Phillips, L. D. Bayesian Statistics for ming with Management Applications, Social Scientists, p, 266. p.275. 6. Iosifescu, M. and Tiiutu, P. Stochastic 16. Goldberger, A. S. and Duncan, O. D. Processes and Applications to Biology (eds). Structural Equation Models in and Medicine, p. 267. the Social Sciences, p, 276. 7. Pollard, J. H. Mathematical Models 17. O.P.C.S.-Social Survey Division. The for the Growth of Human Populations, General Household Survey, p. 277. p.268. 18. Morishima, M. et al. Theory of 8. Hughes, D. R. and Piper, F. C. Demand, Real and Monetary, p. 278. Projective Planes, p, 269. 19. 
TI - An Objective Theory of Probability
JF - Journal of the Royal Statistical Society Series A (Statistics in Society)
DO - 10.2307/2344556
DA - 2018-12-05
UR - https://www.deepdyve.com/lp/oxford-university-press/an-objective-theory-of-probability-7CEHRp19D4
SP - 262
EP - 264
VL - 137
IS - 2
DP - DeepDyve
ER -