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Linear and Nonlinear Estimation of Regression Parameters in Microsoft Excel

Innovative Pedagogical Technologies in Education , UDC: 378 DOI: 10.25688/2072-9014.2019.48.2.07

Authors

  • Yakovlev Vladimir Borisovich PhD (Economics), full professor, professor of the department of Business Informatics, Institute of Digital Education, Moscow City University. E-mail: YakovlevVB@yandex.ru
Tags:
Estimation of regression parameters , Generalized gradient reduction method. , Regression analysis

How to link insert

Yakovlev, V. B. (2019). Linear and Nonlinear Estimation of Regression Parameters in Microsoft Excel Bulletin of the Moscow City Pedagogical University. Series "Pedagogy and Psychology", 2019, №2 (48), 58-71. https://doi.org/10.25688/2072-9014.2019.48.2.07
References
1. Voskobojnikov Уu.Е. Postroenie regressionny'x e'konometricheskix modelej (s primerami v Excel): uchebnoe posobie. Novosibirsk: NGASU (Sibstrin), 2014. 224 s.
2. Konrad Karlberg. Regressionny'j analiz v Microsoft Excel. M.: Dialektika, 2017. 400 s.
3. Yakovlev V.B. Statistika. Raschety' v Microsoft Excel: uchebnoe posobie. M.: Yurajt, 2017. 353 s.
4. Yakovlev V.B. E'konometrika v Excel i Statistica: uchebnoe posobie. Ch. 1. Regressionny'j analiz. M.: E'ditus, 2018. 168 s.
5. Yakovlev V.B., Yakovleva O.A. Praktikum po obshhej teorii statistiki: uchebnoe posobie. M.: INFRA-M, 2016. 382 s.
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