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Application of MARSplines Method for Failure Rate Prediction
Application of MARSplines Method for Failure Rate Prediction
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Application of MARSplines Method for Failure Rate Prediction

Periodica polytechnica. Civil engineering. Bauingenieurwesen, 2019-01, Vol.63 (1), p.87 [Peer Reviewed Journal]

Copyright Periodica Polytechnica, Budapest University of Technology and Economics 2019 ;ISSN: 0553-6626 ;EISSN: 1587-3773 ;DOI: 10.3311/PPci.12559

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On complete convergence for weighted sums of arrays of rowwise END random variables and its statistical applications
On complete convergence for weighted sums of arrays of rowwise END random variables and its statistical applications
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On complete convergence for weighted sums of arrays of rowwise END random variables and its statistical applications

Mathematica Slovaca, 2019-02, Vol.69 (1), p.223-232 [Peer Reviewed Journal]

2019 Mathematical Institute Slovak Academy of Sciences ;ISSN: 0139-9918 ;EISSN: 1337-2211 ;DOI: 10.1515/ms-2017-0216

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Assessing the effects of in vitro imposed water stress on pineapple growth in relation to biochemical stress indicators using polynomial regression analysis
Assessing the effects of in vitro imposed water stress on pineapple growth in relation to biochemical stress indicators using polynomial regression analysis
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Assessing the effects of in vitro imposed water stress on pineapple growth in relation to biochemical stress indicators using polynomial regression analysis

Notulae botanicae Horti agrobotanici Cluj-Napoca, 2020-01, Vol.48 (1), p.162-170 [Peer Reviewed Journal]

2020. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0255-965X ;EISSN: 1842-4309 ;DOI: 10.15835/nbha48111844

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Multilevel Growth Modeling using R: A Case of GDP influencing Factors
Multilevel Growth Modeling using R: A Case of GDP influencing Factors
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Multilevel Growth Modeling using R: A Case of GDP influencing Factors

Journal of statistics (Lahore), 2017-12, Vol.24 (1), p.1

(c)2017 Journal of Statistics ;ISSN: 1684-8403

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  1. Peer-reviewed Journals (3)
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