نتایج جستجو برای: time series analysis

تعداد نتایج: 4450813  

A.K. Neisi A.R. Yari B. Ghalani B. Hashemzadeh Gh. Goudarzi K. Ahmadi Angali M.J. Mohammadi S. Dobaradaran S. Geravandi

Sulfur dioxide has two important sources in the atmosphere and this is why most of scientists believe in a geographic split in the globe. Power plants, major emitter of SO2, are located in north hemisphere such as in Russia, China, Canada and the USA. In south hemisphere, phytoplankton produces a massive amount of dimethyl sulfide (DMS) and dimethyl disulfide (DMDS). Then these types of reduced...

A Bahrampour J Vatani shoaa R Jafari nidishan

Background & Aims: Occupational accidents are known as one of the most important causes of disabilities and mortality in developed and developing countries. Construction industry is one of the most high risk occupations which its hazardous are not known completely. In addition to occupational accidents, construction workers are faced many diseases factors such as asbestos, silicon, fumes and no...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه پیام نور - دانشگاه پیام نور استان فارس - دانشکده علوم 1389

معمولا در ساختار کواریانس داده های سریهای زمانی مربوط به اقلیم شناسی، آب شناسی، جامعه شناسی، علوم طبیعی، مهندسی برق و علوم اقتصاد و ... رفتار تناوبی مشاهده می شود، از این رواستفاده از سریهای زمانی همبسته متناوب در ده سال گذشته توجه گسترده ای را به خود جلب نموده اند. با توجه به اینکه روشهای آنالیز واریانس اغلب برای مقایسه میانگین های چند جامعه با نمونه های تصادفی هم توزیع و مستقل به کار برده می ...

Journal: :Journal of the American Statistical Association 1998

Journal: :تحقیقات جغرافیایی 0
داریوش رحیمی حسنعلی غیور حسنعلی غیور حسنعلی غیور

hydrologists have always tried to classify atmospheric and hydrologic events in order to simplify the hydrologic convolutions and the observations or to save the time and the budget. most of these methods are used for the regionalization of hydrologic phenomena like rainfall,streamflow and other components of water cycle.multivariate techniques have been underlined as suitableand powerful tools...

The present paper introduces the Bayesian spectral analysis as a powerful and efficient method for spectral analysis of photometric time series. For this purpose, Bayesian spectral analysis has programmed in Matlab software for XZ Dra photometric time series which is non-uniform with large gaps and the power spectrum of this analysis has compared with the power spectrum which obtained from the ...

Journal: :Physica D: Nonlinear Phenomena 1995

Journal: :The European Physical Journal B 2016

Journal: :Journal of Applied Behavior Analysis 1977

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