Prasanta Chandra Mahalanobis

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Mahalanobis, Prasanta Chandra

 

Born June 29, 1893, in Calcutta; died there June 27, 1972. Indian statistician and economist.

Mahalanobis was educated at the University of Calcutta (1912) and at Cambridge (1915). From 1931 he headed the India Statistical Institute (Calcutta), which he had established. He was founder (1933) and editor of the statistical journal Sankhya. He served as a member of the Planning Commission of India (1955-67) and as a government advisor on problems of statistics (1949-67).

Mahalanobis’ theoretical works and practical recommendations proceed from positions of petit bourgeois radicalism. He called for the industrialization of India on a basis of accelerated development of the state sector and the centralization of material and monetary resources in the hands of the state, and he favored the simultaneous further development of small enterprise. Mahalanobis played an important part in the formation and development of economic and scientific ties between India and the USSR. He was a foreign member of the Academy of Sciences of the USSR (1958) and a member of the Royal Society of London (1945).

WORKS

Some Observations on the Process of the Growth of National Income. [Calcutta, 1953.]
Talks on Planning. Bombay-Calcutta [1961].
The Approach of Operational Research to Planning in India. Bombay-Calcutta [1963].
In Russian translation:
Vyborochnye obsledovaniia v Indii (Novyi opyt Indiiskogo statisticheskogo instituta). Moscow, 1958. (Translated from English.)
References in periodicals archive ?
622 Table 2 A fragment of the matrix of classification Case Squared Mahalonobis Distances from Group Cent.
In particular, multivariate normality was tested by assessing multivariate kurtosis, and multivariate outliers were examined through Mahalonobis distance (Ullman, 2006).
The best band set for the classifications was determined undertaking divergence statistical indicators and the classification of image was also accomplished by supervised method and by using maximum likelihood algorithm, Mahalonobis and the minimum distance from the mean.
Em seguida, fez-se a analise de verificacao de outliers, por meio da distancia denominada Mahalonobis, conforme recomendado por Tabachnick e Fidell (2007).
Separate screening procedures (using Mahalonobis distances and [chi square] tests of significance) were conducted on the Sport-MPS and body-image data (i.
In this way, mahalonobis distance square is calculated for each data through the following mathematical relationship and its significant is also clear (Hair et al.
The selection criterion was the class with the shortest Mahalonobis distance between its centroid and the sample in canonical space.
Among the techniques used are Mahalonobis distances and a combination of factorial analysis and the algorithm of the K-means (25).
In addition, before performing further analysis, multivariate outliers were analysed by taking into consideration Mahalonobis distance.
2] is mathematically identical to the Mahalonobis distance measure traditionally used for multivariate reference regions (6) and follows a [chi square] distribution with 2 degrees of freedom so that [P.
The first 5 principal components (PC) accounted for 98% of the variation in the spectra, and 130 samples were identified as outliers using the Mahalonobis statistic.
The dirigismic influence of the Mahalonobis model, which lasted for over two decades--although it could not be completely dethroned until much later, was replaced by the rise of populism under Mrs Gandhi and the rampant increase in rent-seeking behaviour that it engendered.