time series analysis modeling (131 resultados)

Hardcover. Condición: Sehr gut. 192 S.; Ill. Very good. Shrink wrapped. Sprache: Englisch Gewicht in Gramm: 530.

Hardcover. Condición: As New. No Jacket. Pages are clean and are not marred by notes or folds of any kind. ~ ThriftBooks: Read More, Spend Less 1.62.

Hardcover. Condición: Very Good.

Condición: Used - Very Good. 2000. Hardcover. Very Good.

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paperback. Condición: New. Language:Chinese.Paperback. Publisher: Southwestern University of Finance Press. This book includes: Introduction; high-frequency statistical characteristics of financial time series.

Paperback or Softback. Condición: New. Statistical Modeling: Regression, Survival Analysis, and Time Series Analysis 2.55. Book.

Paperback. Condición: New.

paperback. Condición: New. Time series analysis and dynamic data modeling.

paperback. Condición: Good. Ship out in 2 business day, And Fast shipping, Free Tracking number will be provided after the shipment.Paperback. Publisher: Beijing Institute of Printing time :1979-12-01Four Satisfaction guaranteed,or money back.

paperback. Condición: Good. Ship out in 2 business day, And Fast shipping, Free Tracking number will be provided after the shipment.Paperback. Publisher: Beijing Institute of Printing time :1979-12-01Four Satisfaction guaranteed,or money back.

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paperback. Condición: New. Language:Chinese.Paperback. Number The Pages.: 145 With the rapid development of earth observation technology. computer technology and network communication technology. has accumulated vast amounts of space and time series data (such as meteorological data. traffic flow data. environmental monitoring. etc.). How to effectively analyze and modeling spatial and temporal sequence data to build the space-time integration of spatial and temporal prediction model for the study of geographical spati.

Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Temporal and spatiotemporal data form an inherent fabric of the society as we are faced with streams of data coming from numerous sensors, data feeds, recordings associated with numerous areas of application embracing physical and human-generated phenomena (environmental data, financial markets, Internet activities, etc.). A quest for a thorough analysis, interpretation, modeling and prediction of time series comes with an ongoing challenge for developing models that are both accurate and user-friendly (interpretable).The volume is aimed to exploit the conceptual and algorithmic framework of Computational Intelligence (CI) to form a cohesive and comprehensive environment for building models of time series. The contributions covered in the volume are fully reflective of the wealth of the CI technologies by bringing together ideas, algorithms, and numeric studies, which convincingly demonstrate their relevance, maturity and visible usefulness. It reflects upon the truly remarkable diversity of methodological and algorithmic approaches and case studies. This volume is aimed at a broad audience of researchers and practitioners engaged in various branches of operations research, management, social sciences, engineering, and economics. Owing to the nature of the material being covered and a way it has been arranged, it establishes a comprehensive and timely picture of the ongoing pursuits in the area and fosters further developments.

Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Temporal and spatiotemporal data form an inherent fabric of the society as we are faced with streams of data coming from numerous sensors, data feeds, recordings associated with numerous areas of application embracing physical and human-generated phenomena (environmental data, financial markets, Internet activities, etc.). A quest for a thorough analysis, interpretation, modeling and prediction of time series comes with an ongoing challenge for developing models that are both accurate and user-friendly (interpretable).The volume is aimed to exploit the conceptual and algorithmic framework of Computational Intelligence (CI) to form a cohesive and comprehensive environment for building models of time series. The contributions covered in the volume are fully reflective of the wealth of the CI technologies by bringing together ideas, algorithms, and numeric studies, which convincingly demonstrate their relevance, maturity and visible usefulness. It reflects upon the truly remarkable diversity of methodological and algorithmic approaches and case studies. This volume is aimed at a broad audience of researchers and practitioners engaged in various branches of operations research, management, social sciences, engineering, and economics. Owing to the nature of the material being covered and a way it has been arranged, it establishes a comprehensive and timely picture of the ongoing pursuits in the area and fosters further developments.

Condición: New. In.

Condición: New. In.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Fresh coconuts are put up for the sale in Colombo coconut auction which is conducted by Coconut Development Authority. The present study was carried out with the objectives to identify the time series pattern of offered coconut quantity and selecting the best fitted model for short term and long term forecasting in Colombo coconut auction. The time series analysis methods i.e. ARIMA, Moving Average, Single and Double Exponential Smoothing were used to forecast the offered coconut quantity and the time series plots were used to identify the time series patterns like seasonal and non-seasonal,etc. in offered coconut quantity. ARIMA (0, 0, 1) (1, 1, 0) was fitted as the best ARIMA forecasting method for short term and long term forecasting. With using test data set, it was found that ARIMA (0,0,1) (1,1,0) has given the predicted values which are more close to the actual offered coconut quantities. The lowest Mean Absolute Percentage Error (MAPE) value (10.55%) was recoded in ARIMA (0, 0, 1) (1, 1, 0). It proves that ARIMA (0, 0, 1) (1, 1, 0) was the best fitted forecasting method among the other tested methods.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This text book presents the application of time series econometrics methods in economics. The main focus of this book is to describe the main principles of time series models and show how they can be used to understand the process of macroeconomic variables and the way they interact each other. In this book, the autoregressive models (ARMA), vector autoregressive (VAR) models, error correction models together with the cointegration analysis, and a well explained econometric modeling procedure are described; with application in modeling and forecasting the inflation process in Rwanda as a country whose economic activities is processing so fast after the 1994 genocide. This text book is very useful for undergraduate students whose specialization is economics, econometrics, statistics and mathematics, and for postgraduate students in the fields mentioned above.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The content provided in this book was taken from the Master's thesis conducted between 2009 and 2011, whose subject on climate change has been widely discussed over the past three decades worldwide. Unexpected meteorological phenomena have happened in several countries whose historical series have shown values far above average, as is the case of floods in desert areas of Saudi Arabia that rained in three days, the volume expected for several years or the drought of famous lakes in California in the United States without the presence of rain for long periods. Some changes were found for the city of Recife, the study site, State of Pernambuco/Brazil in the Maximum and Minimum Compensated Temperature, Precipitation and for Relative Humidity. Probably, these changes can be related to the frequent occurrences of El Niño and La Niña phenomena.