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  • Statistics In Transition

 

Research Communicate | 27-May-2018

PRODUCT EXPONENTIAL METHOD OF IMPUTATION IN SAMPLE SURVEYS

Shakti Prasad

Statistics in Transition New Series, Volume 19 , ISSUE 1, 159–166

Article | 20-December-2020

Some linear regression type ratio exponential estimators for estimating the population mean based on quartile deviation and deciles

Shakti Prasad

Statistics in Transition New Series, Volume 21 , ISSUE 5, 85–98

Article | 27-December-2017

IDENTIFICATION OF ELECTRO-HYDRAULIC ACTUATOR USING FRACTIONAL MODEL

, the derivative order of FO model is estimated. These models has been validated by comparison of error, coefficient of determination (R2), mean square error (MSE) and correlation function. The results for the proposed model show improvement compared to the IO model.

Nuzaihan Mhd Yusof, Norlela Ishak, Ramli Adnan, Yahaya Md. Sam, Mazidah Tajjudin, Mohd Hezri Fazalul Rahiman

International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 1, 32–48

Article | 13-June-2021

A comparative study of a class of direct estimators for domain mean with a direct ratio estimator for domain mean using auxiliary character

Brij Behari Khare, Ashutosh Ashutosh, Piyush Kant Rai

Statistics in Transition New Series, Volume 22 , ISSUE 2, 189–200

Article | 06-July-2017

PREDICTION OF A FUNCTION OF MISCLASSIFIED BINARY DATA

correct the bias of the naive predictor using a double sampling idea where both inaccurate and accurate measurements are taken on the binary variable for all the units of a sample drawn from the original data using a probability sampling scheme. Using this additional information and design-based sample survey theory, we derive a biascorrected predictor. We examine the cases where the new bias-corrected predictors can also improve over the naive predictor in terms of mean square error (MSE).

Noriah M. Al-Kandari, Partha Lahiri

Statistics in Transition New Series, Volume 17 , ISSUE 3, 429–447

Article | 01-September-2015

FRAGRANCE MEASUREMENT OF SCENTED RICE USING ELECTRONIC NOSE

Analysis (LDA) for identification of different rice varieties. Finally, for aroma quantifying, pure-quadratic response surface methodology model used with mean square error (MSE) 0.0028.

Arun Jana, Nabarun Bhattacharyya, Rajib Bandyopadhyay, Bipan Tudu, Subhankar Mukherjee, Devdulal Ghosh, Jayanta Kumar Roy

International Journal on Smart Sensing and Intelligent Systems, Volume 8 , ISSUE 3, 1730–1747

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