The application of statistical methods to the analysis and prediction

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Details

The presented monograph consists of two parts. This book is the first part of the general work of the university staff. The monograph deals with general issues related to water bodies and monitoring of their condition. The authors present the methods of econometric modeling that are used for estimation of the level of pollution of water bodies and for prediction of their further state, such as pairs and multiple regression models, the simplest models of time series. The monograph contains examples of practical application for the construction of regressions and time series models. This allowed the authors to formulate some proposals for improving the procedure of monitoring the status of water bodies. Earlier the authors published the following works on this topic: Arhitektura programmnoj podderzhki i dannyh monitoringa vodnyh resursov Voprosy radioehlektroniki /Igrunova S.V., Putivceva N.P. [et all]. Seriya EHlektronnaya vychislitel'naya tekhnika. Vyp. 1. - Moskva. 2013.- S. 46-58. Mnogokriterial'nyj vybor investicionnyh proektov / Putivceva N.P., Igrunova S.V., Nesterova E.V. [et all]. Verlag: LAP LAMBERT. OmniScriptum GmbH & Co. KG Alle Rechte vorbehalten, 2015. . 89.

Autorentext

The monograph by Igrunova S.V., Nesterova E.V., Kalyuzhnaya E.V., lecturers of the university NRU BelSU, that is presented to the reader, is a complex study in the sphere of assessment and forecasting of the state of transboundary water bodies, which are partially located on the territory of different states that differ with practices of management

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09786202061520
    • Genre Maths
    • Sprache Englisch
    • Anzahl Seiten 96
    • Herausgeber LAP LAMBERT Academic Publishing
    • Größe H220mm x B150mm x T6mm
    • Jahr 2017
    • EAN 9786202061520
    • Format Kartonierter Einband
    • ISBN 6202061529
    • Veröffentlichung 14.11.2017
    • Titel The application of statistical methods to the analysis and prediction
    • Autor Svetlana Igrunova , Elena Nesterova , Elena Kaludgnaya
    • Gewicht 161g

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