نتایج جستجو برای: 2008. modern time series econometric analysis methods

تعداد نتایج: 5637901  

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه تبریز 1389

in reality, most structures involved in geotechnical engineering are three dimensional in nature, and although in many, plane strain or axisymmetric approximations are reasonable, there are some, for which 3-d treatment is required. the quantity of data, and the size of the various vectors and matrices involved in such analysis, increase dramatically. this has sever implications for computer r...

Journal: :journal of computer and robotics 0
sahifeh poor ramezani kalashami faculty of engineering, department of artificial intelligence, mashhad branch, islamic azad university, mashhad, iran seyyed javad seyyed mahdavi chabok faculty of engineering, department of artificial intelligence, mashhad branch, islamic azad university, mashhad, iran

clustering is one of the known techniques in the field of data mining where data with similar properties is within the set of categories. k-means algorithm is one the simplest clustering algorithms which have disadvantages sensitive to initial values of the clusters and converging to the local optimum. in recent years, several algorithms are provided based on evolutionary algorithms for cluster...

Journal: :تحقیقات اقتصاد و توسعه کشاورزی ایران 0
امیرحسین چیذری استادیار اقتصاد کشاورزی دانشگاه تهران مهدی نعمتی دانشجوی کارشناسی ارشد اقتصاد کشاورزی دانشگاه تهران

the law of one price (lop) in oilseeds market of iran (cotton, maize, and soybeans) is tested in the present study, using annual domestic data, and world prices for the period of 1992-2008. modern time series econometric analysis methods, including co-integration and error correction model are made use of. the main results obtained from the study confirms an in the long- run relationship betwee...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه علامه طباطبایی - دانشکده اقتصاد 1389

this thesis is a study on insurance fraud in iran automobile insurance industry and explores the usage of expert linkage between un-supervised clustering and analytical hierarchy process(ahp), and renders the findings from applying these algorithms for automobile insurance claim fraud detection. the expert linkage determination objective function plan provides us with a way to determine whi...

Journal: :journal of computer and robotics 0
kaban koochakpour faculty of computer and information technology engineering, qazvin branch, islamic azad university, qazvin, iran mohammad jafar tarokh associate professor of it group, industrial engineering department, k.n.toosi university of technology

the sales proceeds are the most important factors for keeping alive profitable companies. so sales and budget sales are considered as important parameters influencing all other decision variables in an organization. therefore, poor forecasting can lead to great loses in organization caused by inaccurate and non-comprehensive production and human resource planning. in this research a coherent so...

2017
Olena Liashenko Tetyana Kravets Kateryna Krytsun

The article is devoted to the comparative analysis of software packages in financial time series modeling. The most common among economists packages R, Eviews and Gretl are considered. Volatility is often used as a rough approximation to measuring of overall risk financial instruments. Polish stock index WIG for the modeling of financial time series volatility was chosen. Econometric model of f...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه رازی - دانشکده علوم 1391

in this work, a novel and fast method for direct analysis of volatile compounds (davc) of medicinal plants has been developed by holding a filament from different parts of a plant in the gc injection port. the extraction and analysis of volatile components of a small amount of plant were carried out in one-step without any sample preparation. after optimization of temperature, extraction time a...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه اصفهان - دانشکده علوم 1388

چکیده ندارد.

2016
Andrey Nikolayevich Zharov

the human, ever since his emergence on the Earth, has always wanted to know what the future would bring, what events could happen. People wanted to know this not out of idle curiosity, but to be better prepared for these events. That’s the way forecasting appeared.Currently, there are different kinds of forecasts. Forecasts can be divided into short-term, middle-term and longterm. They can also...

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