AyeniB, 1982, “The testing of hypotheses on interaction data matrices”Geographical Analysis1479–84.
2.
AyeniM A O, 1976, “The city system and the use of entropy in urban analysis”Urban Ecology233–53.
3.
BattyM, 1970, “Some problems of calibrating the Lowry model”Environment and Planning295–114.
4.
BerryB J LSchwindP, 1969, “Information and entropy in migrant flows”Geographical Analysis15–14.
5.
BlackJ ASalterR J, 1975, “A statistical evaluation of a family of gravity models”Proceedings of the Institution of Civil Engineers591–20.
6.
BowmanK OShantonL RHurchensonKOdunE P, 1971, “Comments on the distribution of indices of diversity” in Many Species Populations, Ecosystem and Systems Analysis Eds PatilG PPielouE CWatersW E, The Pennsylvania State University, University Park, PA 16802.
7.
ChapmanG P, 1970, “The application of information theory to the analysis of population distribution in space”Economic Geography (Supplement)46317–331.
8.
FisherR, 1950, “The significance of deviations from expectation in a Poisson series”Biometrica617–24.
9.
FiskCBrownG R, 1975, “The role of model parameters in trip distribution models”Transportation Research9143–148.
10.
GarrisonC BPaulsonA J, 1973, “An entropy measure of the geographical concentration of economic activity”Economic Geography49319–324.
11.
GokhaleD VKullbackS, 1978The Information in Contingency Tables (Marcel Dekkar, New York).
12.
HoelP G, 1971Introduction to Mathematical Statistics (John Wiley, New York).
13.
HymanG, 1969, “The calibration of trip distribution models”Environment and Planning1105–112.
14.
JaynesE T, 1957, “Information theory and statistical mechanics”Physical Review106165–188.
15.
KullbackS, 1958Information Theory and Statistics (John Wiley, New York).
16.
OsteyeeD BGoodI J, 1974Information, Weight of Evidence, The Singularity Between Probability Measures and Signal Detection (Springer, Berlin).
17.
PitfieldD E, 1978, “Algorithm 6: The χ2 test for predicted trip matrices”Environment and Planning A101200–1206.
18.
ShoreJ EJohnsonR W, 1980, “Axiomatic derivation of the principle of minimum cross-entropy and the principle of minimum cross-entropy”IEEE Transaction on Information Theoryvolume IT-26, pp 20–27.
19.
SnickarsFWeibullJ W, 1977, “A minimum information principle. Theory and practice”Regional Science and Urban Economics7137–168.
20.
TheilH, 1967Economics and Information Theory (North-Holland, Amsterdam).
21.
WilsonA G, 1970Entropy in Urban and Regional Modelling (Pion, London).
22.
WilsonA G, 1971, “A family of spatial interaction models, and associated developments”Environment and Planning31–32.
23.
WilsonJ R, 1976, “Statistical notes on the evaluation of calibrated gravity models”Transportation Research10343–345.