9786207485192 - modeling techniques di das, sima; acharya, samik; sengupta, shantanu (7 risultati)
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 87,10
EUR 3,45 spedizioneSpedito in U.S.A.Quantità: 4 disponibili
Condizione: New.
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Da: preigu, Osnabrück, Germaniapreigu
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EUR 58,70
EUR 70,00 spedizioneSpedito da Germania a U.S.A.Quantità: 5 disponibili
Taschenbuch. Condizione: Neu. Modeling Techniques | Sima Das (u. a.) | Taschenbuch | Englisch | 2024 | LAP LAMBERT Academic Publishing | EAN 9786207485192 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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EUR 68,90
EUR 23,00 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 132 pp. Englisch.
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Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 87,78
EUR 7,60 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 4 disponibili
Condizione: New. Print on Demand.
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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EUR 90,34
EUR 9,95 spedizioneSpedito da Germania a U.S.A.Quantità: 4 disponibili
Condizione: New. PRINT ON DEMAND.
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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EUR 68,90
EUR 60,00 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book provides a comprehensive overview of essential statistical concepts and techniques critical for data analysis, modeling, and decision-making across various domains. It covers a range of statistical tools, including non-parame…tric tests such as goodness of fit, independence tests, and comparison tests like Wilcoxon and Mann-Whitney, which are instrumental in analyzing data when parametric assumptions are not met. Linear modeling concepts, such as linear estimation theory, Gauss-Markov models, estimable functions, error variance estimation, and properties of least square estimators, are discussed in detail, highlighting their significance in modeling relationships between variables and estimating parameters accurately. Stochastic models, encompassing one-way and two-way classifications, fixed, random, and mixed effects models, are explored for their ability to capture randomness and variability in data, particularly in experimental designs and categorical data analysis. Additionally, the abstract delves into analysis of variance (ANOVA), Design of Experiment (DOE), and multivariate analysis techniques, providing insights into analyzing group differences.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 132 pp. Englisch.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 69,73
EUR 61,08 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book provides a comprehensive overview of essential statistical concepts and techniques critical for data analysis, modeling, and decision-making across various domains. It covers a range of statistical tools, including non-paramet…ric tests such as goodness of fit, independence tests, and comparison tests like Wilcoxon and Mann-Whitney, which are instrumental in analyzing data when parametric assumptions are not met. Linear modeling concepts, such as linear estimation theory, Gauss-Markov models, estimable functions, error variance estimation, and properties of least square estimators, are discussed in detail, highlighting their significance in modeling relationships between variables and estimating parameters accurately. Stochastic models, encompassing one-way and two-way classifications, fixed, random, and mixed effects models, are explored for their ability to capture randomness and variability in data, particularly in experimental designs and categorical data analysis. Additionally, the abstract delves into analysis of variance (ANOVA), Design of Experiment (DOE), and multivariate analysis techniques, providing insights into analyzing group differences.
