Shittu olanrewaju (15 risultati)

Condizione: New. pp. 92.

Taschenbuch. Condizione: Neu. Analysis of Time Series Data in the Presence of Outliers | In frequency domain | Olanrewaju Shittu | Taschenbuch | 132 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783844323542 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. …

Paperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Paperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book deals with the methods of detection, and identification of outliers in time series data in the frequency domain. It also discusses the method of analysis that would be insensitive to outliers. The author uses some robust regression method to fit sine and cosine coefficients at each Fourier frequency assuming additive outlier (AO) and multiplicative outliers (MO) respectively to obtain discrete Fourier transform for removing outliers from time series data. The parameters of the contaminated series were estimated using the maximum likelihood (ML) method and the statistical properties of the derived estimates were investigated. Two algorithms were proposed for detection and accommodation of aberrant observations in the frequency domain while modified test statistic using a more robust estimate that is resistant to outlier were also developed to test each observation for discordance. A new filtering method of accommodating outliers was also suggested and the performance of various accommodation techniques was determined in respect of the fixed and dynamic models.Real life and simulated data were used to illustrate the techniques. 132 pp. Englisch.…

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Many Statisticians would have specialized in Time Series Analysis but could not get the good grasp of it in their undergraduate level. This book is a summary to Introductory Time Series Analysis course. It is majorly designed for the Distance Learning and part-time students. At a glance, by practising some questions and with follow-ups to answers, students can develop their interests in Time Series Analysis. The book contains 22 Questions and Answers which are of interests and relevance in Time Series. The course is introduced in the questions and the questions cut across both Time and Frequency domain. Some advanced aspect of Time Series like Long memory, Unit root, etc, are also introduced in this book. We believe students will find this book interesting, and each student must get a copy.…

Condizione: New. Print on Demand pp. 92 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Yaya Olaoluwa S.OlaOluwa S. Yaya specializes on Time Series Analysis. Olanrewaju I. Shittu is an Associate Professor in Time Series and Stochastic Processes. Olalekan M. Durojaye is a graduate student in Statistics.Rainfall varia. …

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Rainfall variability, seasonality and extremity have a lot of consequences in planning and decision making of every spheres of human endeavour especially in Nigeria where majority of agricultural practices and planning is dependent on rainfed agriculture. This project considered the trend and seasonality of rainfall in South-Western Nigeria. We employed the non-seasonal and seaonal unit root tests of Dickey and Fuller (1979) and Helleberg, Engle, Granger and Yoo (1990) respectively. Both tests confirmed the seasonality of rainfall in the six states of the geo-political zone. As a result, Seasonal ARMA (SARMA) models were therefore proposed in predicting rainfall pattern in the states.…

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Yaya Olaoluwa S.Dr. O.S. Yaya is a young researcher in Time Series Analysis. He has attended many local and international conferences in Applied Statistics particularly in areas of Econometric Time Series modeling. Dr. O. I. Shittu i.…

Condizione: New. PRINT ON DEMAND pp. 92.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Shittu OlanrewajuDr. O.I. Shittu had B.Sc, M.Sc M.Phil and Ph.D degrees in statistics from the University of Ibadan, Nigeria. A Chattered Statistician (CStat) and Chattered Scientist (CSci) of the Royal Statistical Society (RSS) Lon.…

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book deals with the methods of detection, and identification of outliers in time series data in the frequency domain. It also discusses the method of analysis that would be insensitive to outliers. The author uses some robust regression method to fit sine and cosine coefficients at each Fourier frequency assuming additive outlier (AO) and multiplicative outliers (MO) respectively to obtain discrete Fourier transform for removing outliers from time series data. The parameters of the contaminated series were estimated using the maximum likelihood (ML) method and the statistical properties of the derived estimates were investigated. Two algorithms were proposed for detection and accommodation of aberrant observations in the frequency domain while modified test statistic using a more robust estimate that is resistant to outlier were also developed to test each observation for discordance. A new filtering method of accommodating outliers was also suggested and the performance of various accommodation techniques was determined in respect of the fixed and dynamic models.Real life and simulated data were used to illustrate the techniques.…

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book deals with the methods of detection, and identification of outliers in time series data in the frequency domain. It also discusses the method of analysis that would be insensitive to outliers. The author uses some robust regression method to fit sine and cosine coefficients at each Fourier frequency assuming additive outlier (AO) and multiplicative outliers (MO) respectively to obtain discrete Fourier transform for removing outliers from time series data. The parameters of the contaminated series were estimated using the maximum likelihood (ML) method and the statistical properties of the derived estimates were investigated. Two algorithms were proposed for detection and accommodation of aberrant observations in the frequency domain while modified test statistic using a more robust estimate that is resistant to outlier were also developed to test each observation for discordance. A new filtering method of accommodating outliers was also suggested and the performance of various accommodation techniques was determined in respect of the fixed and dynamic models.Real life and simulated data were used to illustrate the techniques.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 132 pp. Englisch. …

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Many Statisticians would have specialized in Time Series Analysis but could not get the good grasp of it in their undergraduate level. This book is a summary to Introductory Time Series Analysis course. It is majorly designed for the Distance Learning and part-time students. At a glance, by practising some questions and with follow-ups to answers, students can develop their interests in Time Series Analysis. The book contains 22 Questions and Answers which are of interests and relevance in Time Series. The course is introduced in the questions and the questions cut across both Time and Frequency domain. Some advanced aspect of Time Series like Long memory, Unit root, etc, are also introduced in this book. We believe students will find this book interesting, and each student must get a copy.OmniScriptum SRL, Str. Armeneasca 28/1, office 1, 2012 Chisinau 112 pp. Englisch.…