Indian Agricultural Statistics Research Institute

About: Indian Agricultural Statistics Research Institute is a facility organization based out in New Delhi, India. It is known for research contribution in the topics: Population & Small area estimation. The organization has 454 authors who have published 870 publications receiving 7987 citations.

Asymptotically efficient partial diallel crosses

Abstract: The asymptotic efficiency of partial diallel crosses is defined, and circulant plans having such a property are identified. In the absence of an optimal plan to suit his requirements, the breeder should opt for suggested plans to derive maximum information for given resources.

On the generation of factorial designs with minimum level changes

Abstract: Factorial experiments, wherein two or more factors each at two or more levels are used simultaneously, have profound applications in many fields of agricultural and allied sciences. These experimen...

A Note on Cost-Effective Asymmetrical Rotatable Designs

Abstract: Response surface designs are very commonly used in process and product optimization studies. It is used in situations where several input variables potentially influence some performance measure or quality characteristic of a process. But majority of such studies are based on symmetric rotatable designs. Rotatable designs that are asymmetric are useful in situations where it is desirable to maintain the rotatability but it is difficult or infeasible to have the same number of levels for all the factors. Randomization in run order is a technique commonly employed by the users of response surface designs to avoid biases in the estimates of the effects of interest which might result from a time trend. But, randomization can induce a large number of changes in factor levels and thus make experimentation expensive and difficult. Here, a method to obtain experimentation orders with the desired properties for asymmetric response surface designs has been discussed.

Genetic group index on multiple traits for heterogeneous covariance structure.

Abstract: A multi-trait index for ranking different genetic groups/populations with heterogeneous covariance structure is developed and illustrated with live data.