Anderson, R. L. and Bancroft, T. A. 1952. Statistical Theory in Research. Mc. Graw Hill Book Co., New York.
Borders, B. E. and Bailey, R. L. 1986. A compatible system of growth and yield equations for slash pine fitted with restricted three-stage least squares. Forest Science, 32: 185-201.
Brender, E.V. and Clutter, J. L. 1970. Yield of even-aged natural stands of loblolly pine. Report 23, Georgia Forest Research Council.
Boungiorno, J. and Michie, B. R. 1980. A matrix model of uneven-aged forest management. Forest Science, 26(4): 609-625.
Buckland, S. T., Anderson, D. R., Burnham, K. P. and Laake, J. L. 1993. Distance Sampling : Estimating Abundance of Biological Populations. Chapman and Hall, London. 446 p.
Chacko, V. J. 1965. A Manual on Sampling Techniques for Forest Surveys. The Manager of Publications, Delhi.172 p.
Chakravarty, G. N. and Bagchi, S. K. 1994. Short note: enhancement of the computer program of the permutated neighbourhood seed orchard design. Silvae-Genetica., 43: 2-3, 177-179.
Chaturvedi, A. N. and Khanna, E. S. 1982. Forest Mensuration. International Book Distributors, India. 406 p.
Clutter, J. L. Fortson, J. C. Pienaar, L.V. Brister, G. H. and Bailey, R. L. 1983. Timber Manangement : A Quantitative Approach. John Wiley and Sons, New York. 333 p.
Comstock, R. E. and Moll, R. H. 1963. Genotype-environment interactions. In : W. D. Hanson and H. F. Robinson (Eds). Statistical Genetics and Plant Breeding, 164-194.
Crowder M. J. and Hand, D. J. 1990. Analysis of Repeated Measures. Chapman and Hall, New York. 257 p.
Das, M. N. and Giri, N. C. 1979. Design and Analysis of Experiments. Wiley Eastern Ltd. New Delhi. 295 p.
Dixon, W. J. and Massey, F. J. 1951. Introduction to Statistical Analysis. Mc. Graw Hill Book Co., New York.
Draper, N. R. and Smith, H. 1966. Applied Regression Analysis. John Wiley and Sons, New York. 407 p.
Gomez, K. A. and Gomez, A. A. 1984. Statistical Procedures for Agricultural Research. John Wiley and Sons. New York. 680 p.
Faulkner, R. 1975. Seed Orchards. Forestry Commission Bulletin No.54. Her Majesty’s Stationary Office, London. 149 p.
Falconer, D. S. 1960. Introduction to Quantitative Genetics. Longman Group Ltd.,365 p.
Fisher, R. A. and Yates, F. 1963. Statistical Tables for Biological, Agricultural and Medical Research. Longman Group Limited, London. 146 p.
Freeman, G. H. and Perkins, J. M. 1971. Environmental and genotype-environmental components of variability. VIII. Relations between genotypes grown in different environments and measure of these environments. Heredity, 26: 15-23.
Hayne, D. W. 1949. Calculation of size of home range. Journal of Mammology, 30: 1-18.
Jain, J. P. 1982. Statistical Techniques in Quantitative Genetics. Tata McGraw-Hill Publishing Company Ltd. New Delhi. 328 p.
Jeffers, J. N. R. 1978. An Introduction to Systems Analysis : with Ecological Applications. Edward Arnold, London. 198 p.
La Bastide, J. G. A. 1967. A computer programme for the layouts of seed orchards. Euphytica, 16, 321-323.
Lahiri, D. B. 1951. A method of sample selection providing unbiased ratio estimates. Bull. Inst. Stat. Inst., 33, (2) 133-140.
Ludwig, J. A. and Reynolds, J. F. 1988. Statistical Ecology : A Primer on Methods and Computing. John Wiley and Sons, New York. 337 p.
Magurran, A. E. 1988. Ecological Diversity and its Measurement. Croom Helm Limited, London. 179 p.
Mathew, G, Rugmini, P. and Sudheendrakumar, V. V. 1998. Insect biodiversity in disturbed and undisturbed forests in the Kerala part of Western Ghats. KFRI Research Report No. 135, 113 p.
Mood, A. 1950. Introduction to the Theory of Statistics. Mc. Graw Hill Book Co., New York.
Montogomery, D.C. 1991. Design and analysis of Experiments. John Wiley and Sons. New York. 649 p.
Montogomery, D. C. and Peck, E. A. 1982. Introduction to Linear Regression Analysis. John Wiley and Sons, New York. 504 p.
Namkoong, G., Snyder, E. B. and Stonecypher, R. W. 1966. Heretability and gain concepts for evaluating breeding systems such as seedling orchards. Silvae Genetica, 15, 76-84.
Parangpe, S. A. and Gore, A. P. 1997. Effort needed to measure biodiversity. International Journal of Ecology and Environmental Sciences, 23: 173-183.
Searle, S. R. 1966. Matrix Algebra for the Biological Sciences (Including Applications in Statistics). John Wiley and Sons, Inc., New York. 296 p.
Seigel, S. 1956. Nonparametric Statistics for the Behavioral Sciences. McGraw-Hill International Book Company. Tokyo. 312 p.
Snedecor G. W. and Cochran. W. G. Statistical Methods. USA: The Iowa State University Press, 1980. pp. 232-237.
Sokal, R. R. and Rolhf, F. J. 1969. Biometry. W. H. Freeman and Co., San Francisco. 776p.
Spiegel, M. R. and Boxer, R. W. 1972. Schaum’s Outline of Theory and Problems of Statistics in SI units. McGraw-Hill International Book Company, New York. 359 p.
Steel, R. G. D. and Torrie, J. A. 1980. Principles and Procedures of Statistics, 2nd ed., USA: McGraw-Hill, pp. 183-193.
Sukhatme, P. V., Sukhatme, B. V., Sukhatme, S. and Asok, C. 1984. Sampling theory of Surveys and Applications. Iowa State University Press, U.S.A. and ISAS, New Delhi. 526 p.
Sullivan, A. D. and Clutter, J. L. 1972. A simultaneous growth and yield model for loblolly pine. Forest Science, 18: 76-86.
Vanclay, J. K. 1991. Seed orchard designs by computer. Silvae-Genetica, 40: 3-4, 89-91.
White, G. C. and Garrott, R. A. 1990. Analysis of Wildlife Radio-Tracking Data. Academic Press, Inc. San Diego. 383 p.
Worton, B. J. 1987. A review of models of home range for animal movement. Ecological modelling, 38, 277-298.
Wright, J. W. 1976. Introduction to Forest Genetics. Academic Press, Inc. 463 p.
