Paul ranjit kumar (8 risultati)
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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Condizione: New.
Robust Analysis Of Agricultural Field Experiments: Robust Analysis
Paul, Ranjit Kumar; Bhar, Lalmohan; Paul, Ranjit Kumar; Bhar, Lalmohan
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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Paperback. Condizione: Brand New. 76 pages. 8.66x5.91x0.18 inches. In Stock.
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Data generated from the designed experiments is analyzed under certain assumptions. If any of these assumptions is violated, the conclusion drawn from this analysis may be false. For example, like many other fields data obtained fr…om designed experiments is analyzed assuming that the error distribution of observations is normal and homogeneous. These assumptions are frequently violated in practice. In general many examples of such kind could be quoted in linear regression models. But in particular, it is also a common phenomenon in case of designed experiments. It is very difficult to analyze data under non-normal and heterogeneous set-up. There are two major ways in which the outliers can be handled. One way of handling outliers is the development of diagnostic tools (identification) and the other is robust regression (accommodation). The book deals with the development of robust methods of analysis of experimental design and their application in some real experimental data set obtained from the Agricultural Field Experiments Information System (AFEIS), IASRI. New Delhi. M-estimation method is discussed in detail and it is used for analyzing agricultural field experiments data. 76 pp. Englisch.
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Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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EUR 78,25
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Condizione: New. Print on Demand.
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Da: moluna, Greven, Germaniamoluna
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Paul Ranjit KumarScientist,IASRI, New DelhiPhD (Agricultural Statistics, 2008)AWARDS/FELLOWSHIPS RECEIVED:Junior Research Fellowship (JRF-CSIR),Senior Research Fellowship (SRF-ICAR),University merit sc…holarships,National Scholarship..
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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Condizione: New. PRINT ON DEMAND.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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EUR 49,00
EUR 60,66 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Data generated from the designed experiments is analyzed under certain assumptions. If any of these assumptions is violated, the conclusion drawn from this analysis may be false. For example, like many other fields data obtained from de…signed experiments is analyzed assuming that the error distribution of observations is normal and homogeneous. These assumptions are frequently violated in practice. In general many examples of such kind could be quoted in linear regression models. But in particular, it is also a common phenomenon in case of designed experiments. It is very difficult to analyze data under non-normal and heterogeneous set-up. There are two major ways in which the outliers can be handled. One way of handling outliers is the development of diagnostic tools (identification) and the other is robust regression (accommodation). The book deals with the development of robust methods of analysis of experimental design and their application in some real experimental data set obtained from the Agricultural Field Experiments Information System (AFEIS), IASRI. New Delhi. M-estimation method is discussed in detail and it is used for analyzing agricultural field experiments data.
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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EUR 49,00
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 -Data generated from the designed experiments is analyzed under certain assumptions. If any of these assumptions is violated, the conclusion drawn from this analysis may be false. For example, like many other fields data obtained from d…esigned experiments is analyzed assuming that the error distribution of observations is normal and homogeneous. These assumptions are frequently violated in practice. In general many examples of such kind could be quoted in linear regression models. But in particular, it is also a common phenomenon in case of designed experiments. It is very difficult to analyze data under non-normal and heterogeneous set-up. There are two major ways in which the outliers can be handled. One way of handling outliers is the development of diagnostic tools (identification) and the other is robust regression (accommodation). The book deals with the development of robust methods of analysis of experimental design and their application in some real experimental data set obtained from the Agricultural Field Experiments Information System (AFEIS), IASRI. New Delhi. M-estimation method is discussed in detail and it is used for analyzing agricultural field experiments data.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 76 pp. Englisch.
