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Empirical likelihood methods

Rao, J. N. K.; Wu, Changbao - 2009

Persistent link: https://www.econbiz.de/10003879513

Some methods for small area estimation

Rao, J. N. K. - In: Rivista internazionale di scienze sociali 116 (2008) 4, pp. 387-406

Persistent link: https://www.econbiz.de/10003887943

Inferential issues in small area estimation: some new developments

Rao, J. N. K. - In: Statistics in transition : an international journal of … 7 (2005) 3, pp. 513-526

Persistent link: https://www.econbiz.de/10003333960

New results in the variate difference method

Tintner, Gerhard; Rao, J. N. K.; Strecker, Heinrich - 1978

Persistent link: https://www.econbiz.de/10000064403

Chi-squared tests with categorical data from complex surveys

Hidiroglou, M. A. - In: Journal of official statistics : JOS ; an international … 3 (1987) 2, pp. 117-140

Persistent link: https://www.econbiz.de/10001036176

Empirical likelihood-based inference in linear errors-in-covariables models with validation data

Wang, Qihua; Rao, J. N. K. - 2001

Persistent link: https://www.econbiz.de/10001618715

Estimation in multiple-frame surveys

Lohr, Sharon L.; Rao, J. N. K. - In: Journal of the American Statistical Association : JASA 101 (2006), pp. 1019-1030

Persistent link: https://www.econbiz.de/10003375791

Empirical likelihood-based inference in linear errors-in-covariables models with validation data

Wang, Qihua; Rao, J. N. K. - 2001

Linear errors-in-covariables models are considered, assuming the availability of independent validation data on the covariables in addition to primary data on the response variable and surrogate covariables. We first develop an estimated empirical log-likelihood with the help of validation data...

Persistent link: https://www.econbiz.de/10009615434

Discussion of "Small area estimation: its evolution in five decades", by Malay Ghosh

Rao, J. N. K. - In: Statistics in transition : an international journal of … 21 (2020) 4, pp. 53-58

Persistent link: https://www.econbiz.de/10012317689

Rejoinder

Ghosh, Malay - In: Statistics in transition : an international journal of … 21 (2020) 4, pp. 59-67

Persistent link: https://www.econbiz.de/10012317691

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