AitkinM.1979: A simultaneous test procedure for contingency table models. Applied Statistics28, 233–42.
2.
AmemiyaT.1981: Qualitative response models: A survey. Journal of Economic Literature29, 1483–1536.
3.
AnasA.1982: Residential location markets and urban transportation. New York: Academic Press.
4.
ArmingerG.1982: Klassische Anwendungen verallgemeinerter linearer Modelle in der empirischen Sozialforschung. Working Paper, Universitat-Gesamthochschule Wuppertal. (Mimeo.).
5.
ArmingerG., 1983: Regressionsmodelle in der exponentiellen Familie. Working Paper, Universität-Gesamthochschule Wuppertal. (Mimeo.).
6.
ArmingerG., 1985: Analysis of qualitative individual data of latent class models with generalised linear models. In NijkampP.LeitnerH.WrigleyN., editors, 1985, 51–79.
7.
AufhauserE.1984: Log-lineare Modelle und ihre Anwendung zur Analyse raümlichter Interaktionsmatrizen, Department of Geography, University of Vienna, master's thesis.
8.
AufhauserE.FischerM.M.1985: Loglinear modelling and spatial analysis. Environment and Planning A17, 931–51.
9.
BahrenbergG.FischerM.M.NijkampP. editors, 1984: Recent developments in spatial data analysis: Methodology, measurement, models. Aldershot: Gower.
10.
BartholomewP.J.1983: Latent variable models for ordered categorical data. Journal of Econometrics22, 229–43.
11.
BishopY.M.M.FienbergS.E.HollandP.W.1976: Discrete multivariate analysis: Theory and practice, second edition. Cambridge, Massachusetts and London: MIT Press.
12.
BrownM.B.1976: Screening effects in multidimensional contingency tables. Applied Statistics25, 37–46.
13.
BurnettP.HansonS.1982: The analysis of travel as an example of complex human behavior in spatially-constrained situations: Definition and measurement issues. Transportation Research A16A, 87–102.
14.
CosslettS.R.1981: Efficient estimation of discrete-choice models. In ManskiC.F.McFaddenD., edtiors, 1981b, 51–111.
15.
CostanzoC.M.HalperinW.C.GaleN.D.RichardsonG.D.1982: An alternative method for assessing goodness-of-fit for logit models. Environment and Planning A14, 963–71.
16.
DaganzoC.1979: Multinomial probit. The theory and its application to demand forecasting. New York: Academic Press.
17.
DaganzoC.SheffiY.1982: Multinomial probit with time-series data: Unifying state dependence and serial correlation models. Environment and Planning A14, 1377–88.
18.
DaganzoCBouthelierF.SheffiY.1977: Multinomial probit and qualitative choice: A computationally efficient algorithm. Transportation Science11, 338–58.
19.
DomencichT.A.McFaddenD.1975: Urban travel demand: A behavioral analysis. Amsterdam: North Holland Publishing Co.
20.
EversG.H.M.van der VeenA.1983: A theoretical framework for analysing labour supply-mobility: An appliation of spatial discrete choice modelling. Paper presented at the 23rd European Congress of the Regional Science Association, Poitiers.
21.
FienbergS.R.1981: The analysis of cross-classified categorical data, second edition. Cambridge, Massachusetts and London: MIT Press.
22.
FienbergS.E.MasonW.M.1978: Identification and estimation of age-period-cohort models in the analysis of discrete archival data. In SchluesslerK.F., editor, Sociological methodology, San Francisco: Jossey-Bass, 1–67,.
23.
FienbergS.E.MeyerM.M.1983: Loglinear models and categorical data analysis with psychometric and econometric applications. Journal of Econometrics22, 191–214.
24.
FingletonB.1981: Log-linear modelling of geographical contingency tables. Environment and Planning A13, 1539–51.
25.
FingletonB., 1983: Log-linear models with dependent spatial data. Environment and Planning A15, 801–13.
26.
FinneyD.J.1971: Probit analysis, third edition. London: Cambridge University Press.
27.
FischerM.M.1986: Travel demand modelling: A state-of-the-art review. In NijkampP.ReichmanS., editors, Transportation in a social context, Aldershot: Gower, forthcoming.
28.
FischerM.M., 1985: Changing modes of reasoning in spatial choice analysis. Papers of the Regional Science Association57, in press.
29.
FischerM.M.MaierG.1984: Regional labour supply mobility and the logit model, testing some alternative probability choice structures by means of Monte Carlo simulation. Paper Symposium IGU Working Group on ‘Systems and Mathematical Models’ Besançon.
30.
FischerG.W.NaginD.1981: Random versus fixed coefficient quantal choice models. In ManskiC.F.McFaddenD., editors, 1981b, 273–304.
31.
FlowerdewR.AitkinM.1982: A method for fitting the gravity model based on the Poisson distribution. Journal of Regional Science22, 191–202.
32.
GoodmanL.A.1973: The analysis of multidimensional contingency tables when some variables are posterior to others: A modified path analysis approach. Biometrika60, 179–92.
GrizzleJ.E.StarmerC.F.KochG.G.1969: Analysis of categorical data by linear models. Biometrics25, 489–504.
35.
HabermanS.J.1978: Analysis of qualitative data. Vol. 1: Introductory topics. New York: Academic Press.
36.
HabermanS.J., 1979: Analysis of qualitative data. Vol. 2: New developments. New York: Academic Press.
37.
HalperinW.C.1985: The analysis of panel data for discrete choices. In NijkampP.LeitnerH.WrigleyN., editors, 1985, 561–85.
38.
HalperinW.C.GaleN.1984: Towards behavioural models of spatial choice: Some recent developments. In PitfieldD.E. editors, 1984, 9–28.
39.
HalperinW.C.RichardsonG.D.GaleN.CostanzoC.M.1984: A generalized procedure for comparing models of spatial choice. Environment and Planning A16, 1289–1301.
40.
HannanM.T.TumaN.B.1984: Dynamic analysis of qualitative variables: Applications to organizational demography. In NijkampP.LeitnerH.WrigleyN. editors, 1984, 629–61.
41.
HausmanJ.WiseD.A.1976: The evaluation of results from truncated samples: The New Jersey negative income tax experiment. Annals of Economic and Social Measurement5, 421–45.
42.
HausmanJ.WiseD.A., 1978: A conditional probit model for qualitative choice: Discrete decisions recognizing interdependence and heterogeneous preferences. Econometrica46, 403–26.
43.
HausmanJ.WiseD.A., 1981: Stratification on endogenous variables and estimation: The Gary income maintenance experiment. In ManskiC.F.McFaddenD., editors, 1981b, 365–91.
44.
HeckmanJ.J.1978: Dummy endogenous variables in a simultaneous equation system. Econometrica46, 931–59.
45.
HeckmanJ.J., 1981a: Statistical models for discrete panel data. In ManskiC.F.McFaddenD., editors, 1981b, 114–78.
46.
HeckmanJ.J., 1981b: The incidental parameters problems and the problem of initial conditions in estimating a discrete time-discrete data stochastic process. In ManskiC.F.McFaddenD., editors, 1981b, 179–95.
47.
HensherD.A.1976: The structure of journeys and nature of travel patterns. Environment and Planning A8, 655–72.
HorowitzJ.L.1980: The accuracy of the multinomial logit model as an approximation to the multinomial probit model to travel demand. Transportation Research B14, 331–41.
51.
HorowitzJ.L., 1981: Identification and diagnosis of specification errors in the multinomial logit model. Transportation Research B15, 345–60.
52.
HorowitzJ.L., 1982: Specification tests for probabilistic choice models. Transportation Research A16, 383–94.
53.
HorowitzJ.L., 1985: Random utility travel demand models. In JansenG.R.M.NijkampP.RuijgrokC.J., editors, Transportation and mobility in an era of transition, forthcoming.
54.
HubertL.J.ColledgeR.E.1981: A heuristic method for the comparison of related structures. Journal of Mathematical Psychology23, 214–26.
55.
IssaevB.NijkampP.RietveldP.SnickarsF.1982: Multiregional economic modelling: Practice and prospect. Amsterdam: North-Holland Publishing Co.
56.
JohnsonL.HensherD.1982: Application and multinomial probit to a two-period panel data set. Transportation Research A16, 457–64.
57.
JudgeG.C.GriffithsW.E.HillR.C.LeeT-C.1980: The theory and practice of econometrics. New York: John Wiley.
58.
LangdonM.G.1984: Methods of determining choice probability in utility maximising multiple alternative models. Transportation Research B18, 209–34.
59.
LeeL.F.1981: Simultaneous equation models with discrete and censored dependent variables. In ManskiC.F.McFaddenD., editors, 1981b, 346–64.
60.
de LeeuwJ.KellerW.J.WansbeekT. editors, 1983: Introduction to the special issue on ‘Interface between econometrics and psychometrics’. Journal of Econometrics22, i–vi.
61.
LeonardiG.1983: An optimal control representation of a stochastic multi-stage-multiactor choice process. In GriffithD.A.LeaA.C., editors, Evolving geographical structures, The Hague: Martinus Nijhoff, 62–72.
62.
LermanS.R.ManskiC.F.1981: On the use of simulated frequencies to approximate choice probailities. In ManskiC.F.McFaddenD., editors, 1981b, 305–19.
63.
van LieropW.F.J.NijkampP.1984: Perspectives of disaggregate choice models on the housing market. In PitfieldD.A., editor, 1984, 141–62.
64.
van LieropW.F.J.RimaA.1984: Residential mobility and probit analysis. In BahrenbergG.FischerM.M.NijkampP., editors, 1984, 393–407.
65.
LongleyP.A.1984a: Discrete choice modelling and complex spatial choice: An overview. In BahrenbergG.FischerM.M.NvjkampP., editors, 1984, 375–91.
66.
LongleyP.A., 1984b: Comparing discrete choice models: Some housing market examples. In PitfieldD.E., editor, 1984, 163–80.
67.
LuceR.D.1959: Individual choice behavior. New York: John Wiley.
68.
MaddalaG.S.1983: Limited-dependent and qualitqtive variables in econometrics. Cambridge: Cambridge University Press.
69.
MaierG.FischerM.M.1985: Random utility modelling and labour supply mobility analysis. Papers of the Regional Science Association57, in press.
70.
ManskiC.F.1981: Structural models for discrete data: The analysis of discrete choice. In LeinhardtS., editor, Sociological methodology, San Francisco: Washington and London: Jossey-Bass, 58–109.
71.
ManskiC.F.McFaddenD.1981a: Alternative estimators and sample designs for discrete choice analysis. In ManskiC.F.McFaddenD., editors, 1981b, 2–50.
72.
ManskiC.F.McFaddenD., editors, 1981b: Structural analysis of discrete data with econometric applications. Cambridge, Massachusetts: MIT Press.
73.
MarukiC.F.LermanS.1981: The estimation of choice probabilities from choice-based samples. Econometrica45, 1977–88.
74.
MargolisH.1982: Selfishness, altruism and rationality. Cambridge: Cambridge University Press.
75.
McCullaghP.1980: Regression models for ordinal data. Journal of the Royal Statistical Society42B, 109–42.
76.
McCullaghP.NelderJ.A.1983: Generalized linear models. London: Chapman and Hall.
77.
McFaddenD.1974: Conditional logit analysis of qualitative choice behaviour. In ZarembkaP., editor, Frontiers in econometrics, New York: Academic Press, 105–42.
78.
McFaddenD., 1978: Modelling the choice of residential location. In KarlqvistA.LundqvistL.SnickarsF.WeibullJ.W., editors, Spatial interaction theory and planning models, Amsterdam: North-Holland Publishing Co., 75–96.
79.
McFaddenD., 1979: Qualitative methods for analysing travel behaviour of individuals: Some recent developments. In HensherD.A.StopherP.R., editors, 1979, 279–318.
80.
McFaddenD., 1981: Econometric models of probabilistic choice. In ManskiC.F.McFaddenD., editors, 1981b, 198–272.
81.
MichalskiR.S.1983: A theory and a methodology of inductive learning. Report No. UIUCDCS-R-83-1122, Departemnt of Computer Science, University of Illinois, Urbana. (Mimeo.).
82.
MichalskiR.S.ChilanskyR.L.1980: Learning by doing told and learning from examples. International Journal of Policy Analysis and Information Systems4, 125–61.
83.
MiyaoT.ShapiroP.1981: Discrete choice and variable returns to scale. International Economic Review22, 257–73.
84.
MuthénB.1979: A structural probit model with latent variables. Journal of the American Statistical Association74, 807–11.
85.
MuthénB., 1983: Latent variable structural equation modeling with categorical data. Journal of Econometrics21, 43–65.
86.
NelderJ.A.1974: Log-linear models for contingency tables: A generalization of classical least squares. Applied Statistics23, 323–29.
87.
NelderJ.A., 1985: Statistical models for qualative data. In NijkampP.LeitnerH.WrigleyN., editors, 1985, 31–38.
88.
NelderJ.A.WedderburnR.W.M.1972: Generalized linear models. Journal of the Royal Statistical Society135A, 370–84.
89.
NerloveA.PressS.J.1973: Univariate and multivariate log-linear and logistic models. Technical Report R-1306-EDA/NIH, Rand Corporation, Santa Monica, California.
90.
NijkampP.LeitnerH.WrigleyN. editors, 1985: Measuring the unmeasurable. The Hague: Martinus Nrjhoff.
91.
O'BrienL.G.WrigleyN.1984: A generalized linear models approach to categorical data analysis. In BahrenbergG.FischerM.M.NijkampP., editors, 1984, 231–51.
92.
OdlandJ.BarffR.1982: A statistical model for the development of spatial problems: Applications to the spread of housing deterioration. Geographical Analysis14, 327–39.
93.
OrtuzJ.D.1983: Nested logit models for mixed-mode travel in urban corridors. Transportation Research A17, 283–99.
94.
de PalmaA.LefevreC.1983: Individual decision-making in dynamic collective systems. Journal of Mathematical Sociology9, 103–24.
RichardsonA.1982: Search models and choice set generation. Transportation Research A16, 403–19.
97.
RobertsF.S.1979: Measurement theory with applications to decision making. Reading, Massachusetts: Addison-Wesley.
98.
SheffiY.HallR.DaganzoC.1982: On the estimation of the multinomial probit model. Transportation Research A16, 447–56.
99.
SmithT.E.1982: Random utility models of spatial choice: A structural analysis. Paper presented at the IIASA Workshop on Spatial Choice Models in Housing Transportation and Land Use Analysis: Towards a Unifying Effort, Laxenburg, 29 March-1 April 1982.
100.
SmithT.R.1985: General representational formalisms and search procedures for inferring models from categorical data. In NijkampP.LeitnerH.WrigleyN., editors, 1985, 679–90.
101.
SmithT.R.LundbergC.G.1984: Psychological foundations of individual choice behaviour and a new class of decision making units. In BahrenbergG.FischerM.M.NijkampP., editors, 1984, 355–73.
102.
SonisM.1984: Dynamic choice of alternative innovation diffusion, and ecological dynamics of the Volterrootka modle. In PitfieldD.E., editor, 194, 29–43.
TardiffT.1980: Definition of alternatives and representations of dynamic behaviour in spatial choice models. Transportation Research Record723, 25–34.
105.
ThomsonR.BakerR.J.1981: Composite link functions in generalized linear models. Applied Statistics30, 125–31.
106.
ThurstoneL.1927: A law of comparative judgement. Psychological Review34, 273–86.
107.
TimmermansH.J.P.1984: Decision models for predicting preferences among multi-attribute choice alternatives. In BahrenbergG.FischerM.M.NijkampP., editors, 1984, 337–54.
108.
TobinJ.1958: Estimation of relationships for limited dependent variables. Econometrica26, 24–36.
109.
TverskyA.1972a: Elimination-by-aspects: A theory of choice. Psychological Review79, 281–99.
110.
TverskyA., 1972b: Choice-by-elimination. Journal of Mathematical Psychology9, 341–67.
111.
TverskyA.KahnemanD.1981: The framing of decisions and the psychology of choice. Science211, 453–58.
WallstenT.S.1980: Processes and models to describe choice and inference behavior. In WallstenT.S., editor, Cognitive processes in choice and inference behavior, Hillsdale, New Jersey: Lawrence Erlbaum Ass., 215–37.
114.
WedderburnR.W.M.1974: Quasi-likelihood functions, generalized linear models and the Gauss-Newton method. Biometrika61, 439–47.
115.
WegenerB. editor, 1982: Social attitudes and psychophysical measurement. Hillsdale, New Jersey: Lawrence Erlbaum Ass.
116.
WillekensF.1983: Log-linear modelling of spatial interaction. Papers of the Regional Science Association52, 187–205.
117.
WillekensF.BaydarN.1985: Hybrid log-linear models. In NrjkampP.LeitnerH.WrigleyN., editors, 1985, 141–76.
118.
WilliamsH.W.C.L.1981: Random utility theory and probabilistic choice models. In WilsonA.G.CoelhoJ.D.MacGillS.M.WilliamsH.C.W.L., editors, Optimization in locational and transport analysis, Chichester: John Wiley, 46–84.
119.
WrigleyN.1976: An introduction to the use of logit models in geography. Concepts and Techniques in Modern Geography 10, Norwich: Geo Abstracts.
120.
WrigleyN., 1977: Probability surface mapping. An introduction with examples and fortran programmes. Concepts and Techniques in Modern Geography 16, Norwich: Geo Abstracts.
121.
WrigleyN., 1979: Developments in the statistical analysis of categorical data. Progress in Human Geography3, 315–55.
122.
WrigleyN., 1981: Categorical data analysis. In WrigleyN.BennettR.J., editors, Quantitative geography: A British view, London: Routledge and Kegan Paul, 111–22.
123.
WrigleyN., 1982: Quantitative methods: Developments in discrete choice modelling. Progress in Human Geography6, 547–62.
124.
WrigleyN., 1984a: Statistical models for discrete choice analysis. In BahrenbergG.FischerM.M., editors, Proceedings of the 3rd European Conference on Theoretical and Quantitative Geography, Bremer Beitrage zur Geographie und Raumplanung 5, University of Bremen, Bremen, forthcoming.
125.
WrigleyN., 1984b: Quantitative methods: Diagnostics revisited. Progress in Human Geography8, 525–35.
126.
WrigleyN., 1985: Categorical data methods and discrete choice modelling in spatial analysis: Some directions for the 1980s. In NijkampP.LeitnerH.WrigleyN., editors, 1985, 115–37.
127.
WrigleyN.DunnR.1984: Diagnostics and resistant fits in logit choice models. In PitfieldD.E., editors, 1984, 29–43.