List of Selected Publications:

® Designed by H. Bozdogan & Created by Hugh Bailey, 1991.

Books:
 
1. Multivariate Statistical Modeling and Data Analysis. Editor with A.K.Gupta,
D.Reidel Publishing Company, Dordrecht,Holland,1987.
 
2. Theory & Methodology of Time Series Analysis,Volume 1, Proceedings of
First US/Japan Conference on The Frontiers of Statistical Modeling:An Informational
Approach.Editor,Kluwer Academic Publishers,Dordrecht,the Netherlands,1994.
 
3. Multivariate Statistical Modeling,Volume 2, Proceedings of First US/Japan
Conference on The Frontiers of Statistical Modeling: An Informational Approach.Editor,
Kluwer Academic Publishers,Dordrecht,the Netherlands,1994.
 
4. Engineering & Scientific Applications of Informational Modeling,Volume 3,
Proceedings of First US/Japan Conference on The Frontiers of StatisticalModeling: An
Informational Approach.Editor,Kluwer Academic Publishers,the Netherlands, 1994.
 
5. Informational Complexity and Multivariate Statistical Modeling.
In preparation-sole author,expected 1997.
 
6. Statistical Modeling and Model Evaluation:A New Informational Approach.
In preparation-sole author expected 1997.
 
7. Informational Statistical Modeling with MATLAB:A User's Guide & Handbook.
In preparation expected 1997 (with Y.Fan).
 
8. Modern Structural Equation Models With Latent Variables and Measurement Error.
In preparation with T.Ladd, and L.James).
 
Selected Research Papers Published in Refereed Journals/Proceedings:
 
1. Multi-Sample Cluster Analysis with Varying Parameters Using Akaike'sInformation
Criterion,Annals of Institute of Statistical Mathematics,Vol36,No.1,Part B,1984,
pp.163-180 (with S.L.Sclove).
 
2. Multi-Sample Cluster Analysis as an Alternative to Multiple Comparison Procedures,
Bulletin of Informatics and Cybernetics,Vol.22,No.1-2,March 1986,pp.95-130.
 
3. An Adjusted Likelihood-Ratio Approach to the Behrens-Fisher Problem,Communications
in Statistics,Theory and Methods, 15 (8)1986,pp.2415-2433 (with D.E.Ramirez).
 
4. Model Selection and Akaike's Information Criterion (AIC): The General Theory and Its
Analytical Extensions, Psychometrika, Vol. 52, No.3,1987, Special Section (invited paper),
pp.345-370.
 
5. Ideal Point Discriminant Analysis, Psychometrika,Vol.52, No.3,1987, Special Section
(invited paper), pp.371-392 (with Y.Takane and T.Shibayama).
 
6. Testing for Model Fit: Assessing and Box-Cox Transformations of Multivariate
Data to 'Near' Normality, Computational Statistics Quarterly(CSQ),3,3, 1986,
pp.127-150 (with D.E.Ramirez).
 
7. Two-Stage Multi-Sample Cluster Analysis as a General Approach to Discriminant
Analysis. In Multivariate Statistical Modeling and Data Analysis, Eds. H.Bozdogan and
A.K.Gupta, D.Reidel Publishing Company, Dordrecht, Holland, October 1987, pp.95-119
(with D.Eisenblatter).
 
8. An Expert Model Selection Approach to Determine the 'Best' Pattern Structure in Factor
Analysis Models. In Multivariate Statistical Modeling and Data Analysis, Eds. H.Bozdogan
and A.K Gupta, D.Reidel Publishing Company, the Netherlands, Dordrecht, October 1987, pp.35-60
(with D.E.Ramirez).
 
9. An Adjusted Likelihood-Ratio Algorithm for the Behrens-Fisher Problem,
Statistische Hefte/Statistical Papers, 28, 1987, pp.217-231 (with D.E.Ramirez).
 
10. ICOMP: A New Model-Selection Criterion. In Classification and Related Methods of Data Analysis,Ed.Hans H.Bock, Amsterdam:Elsevier Science Publishers B. V. (North-Holland) 1988,
pp.599-608.
 
11. Selecting Loglinear Models and Subset Selection of Variables in Multiway Contingency
Tables Using Akaike's Information Criterion (AIC). In Classification and Related
Methods of Data Analysis, Ed. Hans H.Bock, Amsterdam: Elsevier Science Publishers
B.V.(North-Holland) 1988, pp. 609-616.
 
12. Two-Stage Multi-Sample Cluster Analysis. In Classification and Related Methods
of Data Analysis, Ed. Hans H. Bock, Amsterdam: Elsevier Science Publishers B. V.
(North-Holland) 1988, pp.91-96 (with D.Eisenblatter).
 
13. FACAIC:Model Selection Algorithm for the Orthogonal Factor Model Using
AIC and CAIC, Psychometrika, Vol. 53, No.3, Computational-Psychometrics,1988,
pp.407-415 (with D.E.Ramirez).
 
14. Finite Mixture Models for Cluster Analysis of Grouped Data, in the Proceedings of the
Japanese Classification Society,1988 (invited paper), pp. 1-11.
 
15. On the Information-Based Measure of Covariance Complexity and Its Application
to the Evaluation of Multivariate Linear Models, Communications in Statistics,
Theory and Methods, A19 No.1,1990, pp. 221-278.
 
16. Selecting the Number of Knots in Fitting Cardinal B-Splines for Density
Estimation Using AIC, Journal of the Japan Statistical Society (JJSS),
Vol.20-2, December 1990, pp.179-190 (with T. Atilgan).
 
17. Convergence Properties of MLE's and Asymptotic Simultaneous Confidence
Intervals in Fitting Cardinal B-Splines for Density Estimation, Statistics
and Probability Letters, Vol. 13, 1992, pp.89-98 (with T.Atilgan).
 
18. Choosing the Number of Component Clusters in the Mixture-Model Using a New
Informational Complexity Criterion of the Inverse-Fisher Information Matrix.
In Studies in Classification, Data Analysis,and Knowledge Organization,
O. Opitz, B.Lausen, and R.Klar (eds.), Springer-Verlag,Heidelberg, 1993, pp.40-54.
 
19. Mixture-Model Cluster Analysis Using Model Selection Criteria and a New
Informational Measure of Complexity. In Multivariate Statistical Modeling,
Vol.2, Proceedings of the First US/Japan Conference on the Frontiers of
Statistical Modeling: An Informational Approach, H. Bozdogan (ed.),Kluwer
Academic Publishers, Dordrecht,the Netherlands,1994, pp.69-113.
 
20. AIC-Replacements for Some Multivariate Tests of Homogeneity With Applications
in Multisample Clustering and Variable Selection. In Multivariate Statistical
Modeling, Vol.2, Proceedings of the First US/Japan Conference on the Frontiers
of Statistical Modeling: An Informational Approach, H.Bozdogan (ed.),Kluwer
Academic Publishers,Dordrecht,the Netherlands,1994, pp.119-232 (with S.L.Sclove
and A.K.Gupta).
 
21. Choosing the Number of Clusters, Subset Selection of Variables,and Outlier Detection
in the Standard Mixture-Model Cluster Analysis. Invited paper in New Approaches in
Classification and Data Analysis, E.Diday et al.(Eds.), Springer-Verlag,
New York,1994, pp.169-177.
 
22. Issues in the Estimation and Application of Latent Structure Models of Choice. Position
paper in Marketing Letters, Vol.5, No. 4, 1994, pp. 323-334 (with W.Dillon et al.).
 
23. The Use of Information-Based Model Evaluation Criteria in the GMDH Algorithm.
Invited paper in Systems Analysis, Modelling, and Simulation(SAMS) in honor of
Professor Alexander Ivakhnenko of the Ukrainian Academy of Sciences,Vol. 20, 1995,
pp.29-50 (with C. Hild).
 
24. Inference Problems with Equivalent Models. In Advanced Structural Equation
Modeling Techniques,Lawrence Earlbaum Publishers, April 1995 (with L. J.
Williams and L. Aiman-Smith).
 
25. An Informational Approach to Variable Selection in Logistic Regression Models
of Wildlife Habitat Use.To appear in Environmetrics, 1996 (with F.van Manen and
M. R.Pelton).
 
26. Informational Complexity Criteria for Regression Models. In review in
Computational Statistics and Data Analysis,1996 (with Dominique Haughton).
 
27. Choosing the Best Predictors in Regression Analysis via the Genetic Algorithm
with Informational Complexity as the Fitness Function.In review in Communications
in Statistics, Theory and Methods,1996 (with H-K Luh,and J.J.Minesky).
28. Univariate Mixture of Cubic B-Spline Approach to Detecting Multivariate Modality
Using Model Selection Criteria. Invited paper to appear in the Proceedings of the
International Federation of Classification Societies (IFCS), June 1997,
Springer-Verlag, Tokyo, Japan.
 
29. Empirical Econometric Modeling of Food Consumption Using a New Informational
Complexity Approach.Invited world title award winning paper to appear in the Journal of Applied Econometrics,October 1997 (with P.M.Bearse,and A. M.Schlottmann).
 
30. Phylogeny and Multivariate Correlated Traits: An Information-Based Approach. In review in Evolution,1996 (with H-K Luh, J.L.Gittleman,and C.G.Anderson).

Current Papers in Preparation:
 
31. Subset Selection of Predictors in Bayesian Regression Model Using a New Informational
Complexity Criterion
 
32. Model Selection in Multivariate Nonlinear Regression Analysis of Compositional Data
(with Chen Xi).
 
33. Informational Complexity Approach to Predictive Regression Models of Future Observations
 
34. Bayesian Factor Analysis Model and Choosing the Number of Factors Using a New Informational Complexity Criterion
 
35. A New Small Sample Corrections of Model Selection Criteria via BartlettAdjustment
 
36. Multisample Cluster Analysis of Regression Models in K-Groups Using A New
Complexity Criterion (with A.K. Gupta and S. Paul Wright).
 
37. Bayesian Multisample Cluster Analysis of Regression Models in Several Groups
Using A New Complexity Criterion
 
38. A New Information Theoretic Measure of Complexity Index for Model Evaluation
in General Structural Equation Models with Latent Variables
 
39. Bayesian Confirmatory Factor Analysis (BCFA) Model as an Alternative to the Standard CFA Model with Applications (with K. Shigemasu).
 
40. Multisample Cluster Analysis of the Common Principal Component Model in K Groups
Using Entropic Statistical Complexity Criteria
 
Algorithms Published:
 
UTRANS and MTRANS: Marginal and Joint Box-Cox Transformations of Multivariate Data to 'Near' Normality, Multivariate Behavioral Research, Computer Software, 1988, 23
(with D. E. Ramirez).
 
Unpublished Algorithms:
 
1. AICPARM: A General Purpose Program for Computing AICs for Univariate and Multivariate Parametric Models, to be submitted as a Computer Science Monographs to the Institute of Statistical Mathematics.
 
Technical Reports/Research Memorandum:
 
1. Multi-Sample Cluster Analysis Using Akaike's Information Criterion, Technical Report No. 82-1, January 30, 1982, ONR Contract N00014-80- C-0408 (NR 042-443), Quantitative Methods Department, University of Illinois, Chicago, Illinois 60680 (with S. L. Sclove).
 
2. Multi-Sample Cluster Analysis with Varying Parameters Using Akaike's Information Criterion, Technical Report No. 8-2, March 8, 1982, ONR Contract N00014-80-C-0408 (NR 042-443), Quantitative Methods Department, University of Illinois, Chicago, Illinois 60680
(with S. L. Sclove).
 
3. Determining the Number of Component Clusters in the Standard Multi-variate Normal Mixture Model Using Model-Selection Criteria, Technical Report No. UIC/DQM/A83-1, June 16, 1983, ARO Contract DAAG29-820K- 0155, Quantitative Methods Department, University of Illinois, Chicago, Illinois 60680.
 
4. Multi-Sample Cluster Analysis as an Alternative to Multiple Comparison Procedures, Technical Report No. UIC/DQM/A84-3, July 20, 1984, ARO Contract DAAG29-82-K0155, Department of Quantitative Methods, University of Illinois, Chicago, Illinois 60680.
 
5. Model Selection Approach to the Factor Model Problem, Parameter Parsimony and Choosing the Number of Factors, Technical Report No. 1986 in Staistics, Department of Mathematics, University of Virginia (with D. E. Ramirez).
 
6. ICOMP: A New Model-Selection Criterion for General Multivariate Input-Output Type Structural Models, Technical Report No. 1987 (August 31) in Statistics, Department of Mathematics, University of Virginia.
 
7. The Theory and Applications of Information-Theoretic Measure of Complexity (ICOMP) as a New Model-Selection Criterion, Technical Report No. 1988 (March 15), University of Virginia and The Institute of Statistical Mathematics, Tokyo, Japan.
 
Book Reviews:
 
Handbook of Statistics 2: Classification, Pattern Recognition and Reduction of Dimensionality, P. R. Krishnaiah and L. N. Kanal (eds.). North-Holland Publishing Company, 1982. Reviewed for the Journal of the American Statistical Association.
 
Contribution to Parts of Books (Chapters):
 
Prepared the Solutions Manual for Chapters 11-16 of An Introduction to the Statistical Analysis of Data, by T. W. Anderson and S. L. Sclove (Boston: Houghton Mifflin Company, 1978).