dc.relation.reference | chapter 1
Fushing, H., C.-R. Hwang, H.-C. Lee, Y.-C. Lan and S.-B. Horng (2006) Testing
and mapping non-stationary in animal behavioral processes: A case study on
an individual female bean weevil. Journal of Theoretical Biology 238, 805-816.
chapter2
Aschoff, J. (1960) Exogenous and endogenous components in circadian rhythms. In
Cold Spring Harbor Symposium on Quantitative Biology: Biological Clocks, J.
Aschoff Eds. pp. 11-28. the Biological Laboratory Cold Spring Harbor, New
York.
Aschoff, J. (1965) Circadian rhythm in man. Science 148, 1427-1432.
Czeisler, C. A., Weitzman, E. D. Moor-Ede, M. C. and Knauer, R. G. (1980) Human
sleep: its duration and organization depend on its circadian phase. Science 210,
1264-1267.
Daan, S. and Berde, C. (1978) Two coupled oscillators: simulation of the circadian
pacemaker in mammalian activity rhythm. Journal of Theoretical Biology 70,
297-313.
Daan, S. and Oklejewicz, M. (2003) The precision of citcadian clocks: assessment
and analysis in Syrian Hamsters. Chronobiology International 20, 209-221.
Doese, H. B. and Ringo, J. M. (1989) The search for hidden periodicities in biological
time series revised. Journal of Theoretical Biology 139, 487-515.
Dunlap, J. C. (1999) Molecular bases for circadian clocks. Cell 96, 271-290.
Enright, J. T. (1965) The search for rhythmicity in biological time-series. Journal
of Theoretical Biology 8, 426-468.
Froster and Kreitzman (2004) Rhythms of life. Yale Univ. Press, New Haven and
London.
Fushing, H., C.-R. Hwang, H.-C. Lee, Y.-C. Lan and S.-B. Horng (2006) Testing
and mapping non-stationary in animal behavioral processes: A case study on
an individual female bean weevil. Journal of Theoretical Biology 238, 805-816.
Hall, J. C. (1998) Genetics of biological rhythms in Drosophila. Advances in genetics
38, 135-184.
Konopka, R. J. and Benzer, S. (1971) Clock mutants of Drosophila melanogaster.
Proceedings of the National Academy of Sciences of the United States of America
68, 2112-2116.
Pavlidis, T. (1973) Biological Oscillators: Their Mathematical Analysis. Academic,
New York
Pittendrgh, C. S. (1960) Circadian rhythm and the circadian organization of living
system. In Cold Spring Harbor Symposium on Quantitative Biology: Biological
Clocks, J. Aschoff Eds. pp. 159-184. the Biological Laboratory Cold Spring
Harbor, New York.
Pittendrgh, C. S. (1993) Temporal organization: reflections of a darwinian clockwatcher.
Annual review of physiology 55, 17-54.
Pittendrgh, C. S. and Daan, S. (1976) A functional analysis of circadian pacemakers
in nocturnal rodents. IV. Entrainment: Pacemaker as clock. Journal of
Comparative Physiology 106, 223-252.
Sokolove, P. G. and Bushell, W. N. (1978) The chi square periodogram: its utility
for analysis of circadian rhythms. Journal of Theoretical Biology 72, 131-160.
Strogatz, S. H. (1986) The Mathematical Structure of the Human Sleep-Wake Cycle.
Lect. Notes Biomath. vol. 69. Berlin, Heidelberg, New York: Springer.
Wei, Y. S. and Lee, H. J. (2001) Adjustability of the circadian clock in the cockroaches:
a comparative study of two closely related species, Blattella germanica
and Blattella bisignata. Chronobiology International 18, 767-780.
Winfree, A. T. (1970) Intergrated view of resetting a circadian clock. Journal of
Theoretical Biology 28, 327-372.
Winfree, A. T. (1987) The Timing of Biological Clocks. Scientific American Library,
New York.
Chapter3
Daan, S. and Oklejewicz, M. (2003) The precision of circadian clocks: assessment
and analysis in Syrian Hamsters. Chronobiol. Int. 20, 209-221.
Pittendrgh, C. S. and Daan, S. (1976) A functional analysis of circadian pacemarkers
in nocturnal rodents. I. The stability of liability of apontaneous frequency. J.
Comp. Physiol. 106, 223-252.
chapter4
Bell, W. J. (1991) Searching behaviour: the behavioural ecology of finding resources.
Printed in Great Britain at the University Press, Cambridge.
Carlin, B. P., N. G. Polson and D. S. Stoffer (1992) A Monte Carlo approach to nonnormal
and nonlinear state space modeling. Journal of the American Statistical
Association 87, 493-500.
Faure, P., Neumeister, H., Faber, D. S. and Korn, H. (2003) Symbolic analysis of
swimming trajectories reveals scale invariance and provides a model for fish
locomotion. Fractals 11, 233-243.
Fushing, H., C.-R. Hwang, H.-C. Lee, Y.-C. Lan and S.-B. Horng (2006) Testing
and mapping non-stationary in animal behavioral processes: A case study on
an individual female bean weevil. Journal of Theoretical Biology 238, 805-816.
Fushing, H., W.-C. Tasi and S.-C. Chen (2007) Identifying animal’s internal cognitive
criteria in solitary foraging: A statistical dynamic system approach. (sumitted)
Jander, R. (1975) Ecological aspects of spatial orientation. Annual Review of Ecology
and Systematics 6, 171-188.
Kareiva, P. M. and Shigesada, N. (1983) Analyzing insect movement as a correlated
random walk. Oecologia 56, 234-238.
Kaspar F. and H. G. Schuster (1987) Easily calculable measure for the complexity
of spatiotemporal patterns. Physical Review A 36, 842-848.
Kolmogorov, A. N. (1965) Three approaches to the quantitative definition of information.
Problems of Information Transmission 1, 1-7.
Lempel, A. and J. Ziv (1976) On the complexity of finite sequences. IEEE Transactions
on information theory 22, 75-81.
Solomonoff, R. J. (1964) A formal theory of inductive inference. part I. Information
and Control 7, 1-22.
Sunger, M. C. (1982) Quantification of host preference by manipulation of oviposition
behavior in the butterfly Euphaydryas editha. Oecologia 52, 230-235.
Szczepa´nski, J., J. M. Amig´0, E. Wajnryb and M. V. Sanchez-Vives (2003) Application
of Lempel-Ziv complexity to the analysis of neural discharges. Network:
Computation in neural systems 14, 335-350.
Tanizaki, H. (2001) Estimation of unknown parameters in non-linear and non-
Gaussian state-space models. Journal od Statistical Planning and Inferrence
96, 301-323.
Turchin, P. (1998) Quantitative analysis of movement: measuring and modeling population
redistribution in animals and plants. Sinauer Associates, Sunderland,
Massachusetts, USA.
chapter5
Allport, G. W. (1937) Persionality: A psychological interpretation. Ner York: Holt.
Arminger, G. (1986) Linear stochastic differential equation models for panel data
with unobserved variables. In N. Tuma (Ed.), Sociological methodology 1987
pp. 187-212. San Francisco: Jossey-Bass.
Aschoff, J. (1965) Circadian rhythms in man. Science 148, 1427-1432. San Francisco:
Jossey-Bass.
Baxter, L. A. and Montgomery, B. M. (1996) Relating: Dialogues and Dialectics.
New York: Guilford.
Boker, S. M. (2001) Differential structural modeling of intraindividual variability.
In L. Collins and A. Sayer (Ed.) New methods for the analysis of change. pp.
5-27. Washington, DC: APA.
Cattell, R. B. (1963) The structuring of change by P-technique and incremental Rtechnique.
In C. W. Harris (Ed.), Problems in measuring change. pp. 167-198.
Madison, WI: University of Wisconsin Press. 12, 267-288.
Cattell, R. B., Cattell, A. K. S. and Rhymer, R. M. (1947) P-technique demonstrated
in determining psychophysical source traits in a normal individual. Psychometrika
12, 267-288.
Chaitin, G. J. (1987) Algorithm infomation theory. Cambridge, UK: Cambrodge
University Press.
Coleman, J. S. (1964) Introduction to mathematical sociology. London: Collier-
Macmillan.
Coleman, J. S. (1968) The mathematical study of change. In J. H. M. Blaylock and
A. Blaylock (Ed.) Mathodology in social research. pp. 428-478. New York:
McGraw-Hill.
Cowan, C. P. and Cowan, P. A. (2000) When partners become parents: The big life
change for couples. Mahwah, NJ: Lawrence Erlbaum Associates.
Felmlee, D. H. (in press) Application of dynamic systems analysis to dyadic interactions
in A. D. Ong & M. van Dulmen (Ed.) Handbook of methods in positive
psychology. Oxford University Press.
Felmlee, D. H. and Greenberg, D. F. (1999) A dynamic systems model of dyadic
interaction. Journal of Mathematical Sociology 23, 155-180.
Ferrer, E. and Nesselroade, J. R. (2003) Modeling affective processes in dyadic relations
via dynamic factor analysis. Emotion 3, 344-360.
Fushing, H., C.-R. Hwang, H.-C. Lee, Y.-C. Lan and S.-B. Horng (2006) Testing
and mapping non-stationary in animal behavioral processes: A case study on
an individual female bean weevil. Journal of Theoretical Biology 238, 805-816.
Geman, S., Potter, D. and Chi, Z. (2002) Composition systems. Quarterly of Applied
Mathematics 60, 707-736.
Gottman, J. M., Murray, J. D., Swanson, C. C., Tyson, R. and Swanson, K. R.
(2002) The mathematics of marriage: Dynamic nonlinear models. Cambridge,
MA: MIT Press.
Hamaker, E. L., Dolan, C. V. and Molenaar, P. C. M. (2005) Statistical modeling of
the individual: Rational and application of multivariate stationary time series
analysis. Multivariate Behavioral Research 40, 207-233.
Kolmogorov, A. N. (1965) Three approaches to the quantitative definition of information.
Probl. Inform. Transmission 1, 1-7.
Lempel, A. and J. Ziv (1976) On the complexity of finite sequences. IEEE Transactions
on information theory 22, 75-81.
Kaspar F. and H. G. Schuster (1987) Easily calculable measure for the complexity
of spatiotemporal patterns. Physical Review A 36, 842-848.
Manuca, R. and Savit, D. (1996) Stationarity and nonstationarity in time series
analysis. Physica D 99, 134-161.
McArdle, J. J. (2001) A latent difference score approach to longitudinal dynamic
analysis. In R. Cudeck, S. Du Toit, and D. Sorbom (Ed.) Structural equation
modeling: Present and fuure pp. 341-380. Lincolnwood, IL: Scientific Sofeware
International.
Molenaar, P. C. M. (1994) Dynamic latent variable models in developmental psychology.
In A. von Eyr and C. C. Clogg (Ed.) Latent variables analysis: Applications
for developmental research pp. 155-180. Newbury Park, CA: Sage.
Molenaar, P. C. M. (2004) A manifesto on psychology as idiographic science: Bringing
the person back into scientific psychology - this time forever. Measurement
2, 201-218.
Molenaar, P. C. M. and Valsiner, J. (2005) How generalization works through the single
case: A simple idiographic process analysis of an individual psychotherapy.
International Journal of Idiographic Science, Article 1. Retrieved (10/18/2005)
from http://www.valsiner.com/articles/molenvals.htm.
Nesselroade, J. R. (2001) Intraindividual variability in development within and between
individuals. European Psychologist 6, 187-193.
Nesselroade, J. R. (2003) Elaborating the differential in differential psychology. Multivariate
Behavioral Research 37, 543-561.
Newell, K. M. and Molenaar, P. C. M. (1998) Applications of nonlinear dynamics to
developmental process modeling. Mahwah, NJ: Lawrence Erlbaum Associates.
Solomonoff, R. J. (1964) A formal theory of inductive inference. part I. Information
and Control 7, 1-22.
Sprecher, S. and Felmlee, D. H. (1997) The balance of power in romantic heterosexual
couples over time from ”his” and ”her” perspectives. Sex Roles 37, 361-379.
Stoffer, D. (1991) Walsh-Fourier analysis and its statistical application (with discussion).
Journal of the American Statistical Association 86, 461-479.
Strogatz, S. H. (1986) The mathematical Structure of the Human Sleep-Wake Cycle.
Lecture Notes in Mathematics, Vol 69, Springer, New York.
Surra, C. A. and M. Longstreth (1990) Similarity of outcomes, interdependence, and
conflict in dating relationships. Journal of Personality and Social Psychology
59, 1-16.
Thelen, E. and Smith, L. B. (1994) A dynamic systems approach to the development
of cognition and action. Cambridge, MA: MIT Press.
Tuma, N. B. and Hannan, M. T. (1984) Social dynamics: Models and methods.
Orlando, FL: Academic Press.
Vallacher, R. R. and Nowak, A. (1994) Dynamical systems in social psychology. San
Diego, CA: Academic Press.
Watson, D., Clark, L. A. and Tellegen, A. (1988) Development and validation of
brief measures of positive and negative affect: The PANAS scales. Journal of
Personality and Social Psychology 54, 1063-1070.
West, B. (1985) An essay on the importance of being nonlinear. Berlin: Springer-
Verlag.
chapter6
Boyd, R. and Silk, J. B. (1983) A method for assigning cardinal dominance ranks.
Animal Behaviour. 31, 45-58.
Broom, M. (2002) A unified model of dominance hierarchy formation and maintenance.
Journal of Theoretical Biology. 219, 63-72.
Chen, S. C., Yang, R.-L., Ho, H.-Y., Chou, S.-Y. and Kou, R. (2007) Strategic 3-
hydroxy-2-butanone release in the dominant male lobster cockroach, Nauphoeta
cinerea Naturwissenschaften. (Accepted).
Everaerts, C., Fenaux-Benderitter, F. Farine, J. P. and Brossut, R. (1997) Male
dominant/subordinate relationships, cuticular profiles and sex pheromone in.
Nauphoeta cinerea (Dictyoptera, Blaberidae) Insectes Sociaux. 44, 277-287.
Ewing, L. S. (1972) Hierarchy and its relation to territory in the cockroach Nauphoeta
cinerea. Behaviour. 42, 152-174.
Issa, F. A., Adamson, D. J. and Edwards, D. H. (1999) Dominance hierarchy formation
in juvenile crayfish Procambarus clarkii. The Journal of Experimental
Biology. 202, 3497-3506.
Klopfer, P. H. (1973) Behavioral Aspects of Ecology. Englewood Cliffs, NJ: Prentice-
Hall.
Kou, R., Chen, S. C., Chen, Y. R. and Ho, H.-Y. (2006) 3-Hydroxy-2-butanone and
the first encountered fight in the male lobster cockroach, Nauphoeta cinerea.
Naturwissenschaften. 93, 286-291.
Kou, R., Chen, S. C. and Ho, H.-Y. (2007) Submission-inducing pheromone in cockroach
rank formation. (Submitted)
Landau, H. G. (1951) On dominance relations and the structure of animal societies:
I, effect of inherent characteristics. Bulletin of Mathematical Biophysics. 13,
1-19.
Wilson, E. O. (2000) Sociobiology: the new synthesis (25th anniversary edition).
Belknap Press of Harvard University, Cambridge, Massachusetts, London, England). | en |