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Nair, K. R.
- Statistical Methods and Experimental Design
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Indian Forester, Vol 74, No 6 (1948), Pagination: 248-250Abstract
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- On the Application of Statistical Quality Control. Methods in Wood Based Industries
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Indian Forester, Vol 74, No 11 (1948), Pagination: 379-382Abstract
No abstract- A Brief Historical Sketch of the Introduction of Statistical Methods in Indian Silvicultural Experiments
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Indian Forester, Vol 76, No 2 (1950), Pagination: 67-68Abstract
No abstract- Sampling Techniques - Adaptation of Modern Statistical Methods to the Estimation of Forest Areas, Timber Volumes, Growth and Drain
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Indian Forester, Vol 76, No 1 (1950), Pagination: 31-35Abstract
No abstract- Statistical Methods in Forest Products Research
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Indian Forester, Vol 79, No 2 (1953), Pagination: 87-91Abstract
Statistical methods can help in (1) sampling of test material (2) experimental design and (3) interpretation of results. The paper cites examples of the application of statistical methods in experimental design and analysis of data in research conducted in the Forest Products Laboratories at Madison, Princes Risborough, Melbourne and Dehra Dun. It has been found that to obtain greater precision for species averages of strength properties of timber, at a given cost, the test material should come from as large a number of trees as possible with consequent reduction in the number of specimens from each tree. The range is almost as good a measure of variation as the standard deviation in samples of 6 or less number of observations. Its use is therefore recommended for these sizes of samples and the method of indirectly estimating the standard deviation from the range is explained. Finally, the paper recommends the use, wherever possible, of factorial designs, confounding, fractional replications, incomplete blocks, etc., in designing experiments on laboratory and pilot plant scale.- Statistical Methods in Forest Research
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Indian Forester, Vol 79, No 7 (1953), Pagination: 383-389Abstract
The paper reviews the efforts made in the application of statistical methods to forest research in India during the last two decades and points out some of the common defects in experimental design and in the analysis of data of silvicultural experiments. The potentialities of factorial designs, incomplete blocks, etc., in the planning of silvicultural research are pointed out. The need for closest collaboration between research foresters and mathematical statisticians for exploring possibilities of replacing subjective free-hand curves by objective regression analysis in the evaluation of data for preparing yield and volume tables is stressed. Recent work on the technique of statistical sampling for timber surveys has been reviewed. Finally, some suggestions are given for raising statistical standards in forest research by international effort.- Place of Statistics in Scientific Research
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