time series data analysis von agung (11 Ergebnisse)

Zustand: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.

Hardcover. Zustand: As New. No Jacket. Pages are clean and are not marred by notes or folds of any kind. ~ ThriftBooks: Read More, Spend Less 2.02.

Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Zustand: New.

hardcover. Zustand: Gut. 632 Seiten; 9780470823675.3 Gewicht in Gramm: 2.

Zustand: New. I. Gusti Ngurah Agung, PhD, has been an advisor at the Ary Suta Center, Jakarta since 2008. He recently retired from his position as a lecturer at the Graduate School of Management, University of Indonesia. In addition to teaching and being an academic advi.

Hardcover. Zustand: Brand New. 520 pages. 10.25x7.25x1.25 inches. In Stock.

Gebunden. Zustand: New. Do you want to recognize the most suitable models for analysis of statistical data sets?This book provides a hands-on practical guide to using the most suitable models for analysis of statistical data sets using EViews - an interactive Windows-based compute.

Hardcover. Zustand: Brand New. new edition. 320 pages. 9.21x6.30x1.50 inches. In Stock.

Buch. Zustand: Neu. Neuware - Introduces the latest developments in forecasting in advanced quantitative data analysisThis book presents advanced univariate multiple regressions, which can directly be used to forecast their dependent variables, evaluate their in-sample forecast values, and compute forecast values beyond the sample period. Various alternative multiple regressions models are presented based on a single time series, bivariate, and triple time-series, which are developed by taking into account specific growth patterns of each dependent variables, starting with the simplest model up to the most advanced model. Graphs of the observed scores and the forecast evaluation of each of the models are offered to show the worst and the best forecast models among each set of the models of a specific independent variable.Advanced Time Series Data Analysis: Forecasting Using EViews provides readers with a number of modern, advanced forecast models not featured in any other book. They include various interaction models, models with alternative trends (including the models with heterogeneous trends), and complete heterogeneous models for monthly time series, quarterly time series, and annually time series. Each of the models can be applied by all quantitative researchers.\* Presents models that are all classroom tested\* Contains real-life data samples\* Contains over 350 equation specifications of various time series models\* Contains over 200 illustrative examples with special notes and comments\* Applicable for time series data of all quantitative studiesAdvanced Time Series Data Analysis: Forecasting Using EViews will appeal to researchers and practitioners in forecasting models, as well as those studying quantitative data analysis. It is suitable for those wishing to obtain a better knowledge and understanding on forecasting, specifically the uncertainty of forecast values.

Buch. Zustand: Neu. Neuware - Do you want to recognize the most suitable models for analysis of statistical data sets This book provides a hands-on practical guide to using the most suitable models for analysis of statistical data sets using EViews - an interactive Windows-based computer software program for sophisticated data analysis, regression, and forecasting - to define and test statistical hypotheses. Rich in examples and with an emphasis on how to develop acceptable statistical models, Time Series Data Analysis Using EViews is a perfect complement to theoretical books presenting statistical or econometric models for time series data. The procedures introduced are easily extendible to cross-section data sets.The author:Provides step-by-step directions on how to apply EViews software to time series data analysisOffers guidance on how to develop and evaluate alternative empirical models, permitting the most appropriate to be selected without the need for computational formulaeExamines a variety of times series models, including continuous growth, discontinuous growth, seemingly causal, regression, ARCH, and GARCH as well as a general form of nonlinear time series and nonparametric modelsGives over 250 illustrative examples and notes based on the author s own empirical findings, allowing the advantages and limitations of each model to be understoodDescribes the theory behind the models in comprehensive appendicesProvides supplementary information and data sets An essential tool for advanced undergraduate and graduate students taking finance or econometrics courses. Statistics, life sciences, and social science students, as well as applied researchers, will also find this book an invaluable resource.