Synopsis
In this book particular attention was paid to the study of new dynamic models based on modifications of existing ones, with the interesting and insufficiently studied hypothesis of a possible "polynomial variable transfer" and their use in the analysis of up-to-date and still insufficiently analyzed world data - "Corona Virus" COVID-19 (sickness, mortality, etc.). We did not neglect the known statistics and analyzes of the spread of previous epidemics SARS-CoV, Cholera, Ebola and others. As a result of these studies, a coherent methodology for analysis and modeling of a predictive model of the distribution of COVID-19 in Bulgaria was formed. Due to the fact that the "forecast data" (worldwide) were highly exponential in nature, and that the existing epidemiological mathematical models do not give reliable forecast results (due to the many unknowns accompanying this pandemic, the pointless study of heavy stratified systems from differential equations and research for stability of components of its solution ...) we stopped at a modification of the classic Half-Logistic model with the so-called by us - "Polynomial Variable Transfer".
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A Look at the New Logistic Models with "Polynomial Variable Transfer"
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ISBN 10: 6202565950
ISBN 13: 9786202565950
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In this book particular attention was paid to the study of new dynamic models based on modifications of existing ones, with the interesting and insufficiently studied hypothesis of a possible 'polynomial variable transfer' and their use in the analysis of up-to-date and still insufficiently analyzed world data - 'Corona Virus' COVID-19 (sickness, mortality, etc.). We did not neglect the known statistics and analyzes of the spread of previous epidemics SARS-CoV, Cholera, Ebola and others. As a result of these studies, a coherent methodology for analysis and modeling of a predictive model of the distribution of COVID-19 in Bulgaria was formed. Due to the fact that the 'forecast data' (worldwide) were highly exponential in nature, and that the existing epidemiological mathematical models do not give reliable forecast results (due to the many unknowns accompanying this pandemic, the pointless study of heavy stratified systems from differential equations and research for stability of components of its solution .) we stopped at a modification of the classic Half-Logistic model with the so-called by us - 'Polynomial Variable Transfer'. 132 pp. Englisch. Seller Inventory # 9786202565950
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A Look at the New Logistic Models with \ Polynomial Variable Transfer\
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Kyurkchiev NikolayThe authors are Professors in University of Plovdiv Paisu Hilendarski, Faculty of Mathematics and Informatics. Up to now they have more than 900 papers and 16 monographs in the field of Mathematical Modelling, Infor. Seller Inventory # 385947820
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"A Look at the New Logistic Models with \"Polynomial Variable Transfer\"
Published by
LAP LAMBERT Academic Publishing Mai 2020, 2020
ISBN 10: 6202565950
ISBN 13: 9786202565950
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In this book particular attention was paid to the study of new dynamic models based on modifications of existing ones, with the interesting and insufficiently studied hypothesis of a possible 'polynomial variable transfer' and their use in the analysis of up-to-date and still insufficiently analyzed world data - 'Corona Virus' COVID-19 (sickness, mortality, etc.). We did not neglect the known statistics and analyzes of the spread of previous epidemics SARS-CoV, Cholera, Ebola and others. As a result of these studies, a coherent methodology for analysis and modeling of a predictive model of the distribution of COVID-19 in Bulgaria was formed. Due to the fact that the 'forecast data' (worldwide) were highly exponential in nature, and that the existing epidemiological mathematical models do not give reliable forecast results (due to the many unknowns accompanying this pandemic, the pointless study of heavy stratified systems from differential equations and research for stability of components of its solution .) we stopped at a modification of the classic Half-Logistic model with the so-called by us - 'Polynomial Variable Transfer'.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 132 pp. Englisch. Seller Inventory # 9786202565950
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"A Look at the New Logistic Models with \"Polynomial Variable Transfer\" "
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ISBN 10: 6202565950
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this book particular attention was paid to the study of new dynamic models based on modifications of existing ones, with the interesting and insufficiently studied hypothesis of a possible 'polynomial variable transfer' and their use in the analysis of up-to-date and still insufficiently analyzed world data - 'Corona Virus' COVID-19 (sickness, mortality, etc.). We did not neglect the known statistics and analyzes of the spread of previous epidemics SARS-CoV, Cholera, Ebola and others. As a result of these studies, a coherent methodology for analysis and modeling of a predictive model of the distribution of COVID-19 in Bulgaria was formed. Due to the fact that the 'forecast data' (worldwide) were highly exponential in nature, and that the existing epidemiological mathematical models do not give reliable forecast results (due to the many unknowns accompanying this pandemic, the pointless study of heavy stratified systems from differential equations and research for stability of components of its solution .) we stopped at a modification of the classic Half-Logistic model with the so-called by us - 'Polynomial Variable Transfer'. Seller Inventory # 9786202565950
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A Look at the New Logistic Models with "Polynomial Variable Transfer"
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Taschenbuch. Condition: Neu. A Look at the New Logistic Models with "Polynomial Variable Transfer" | Nikolay Kyurkchiev (u. a.) | Taschenbuch | 132 S. | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786202565950 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Seller Inventory # 118549791
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