نتایج جستجو برای: carter model time series

تعداد نتایج: 3813145  

In this paper, a method for predicting time series is presented. Time series prediction is a process which predicted future system values based on information obtained from past and present data points. Time series prediction models are widely used in various fields of engineering, economics, etc. The main purpose of using different models for time series prediction is to make the forecast with...

Journal: :journal of occupational health and epidemiology 0
m moradinazar of epidemiology, shiraz university of medical sciences f najafi department of epidemiology, school of medical sciences kermanshah, iran j hassanzadeh of epidemiology, shiraz university of medical sciences

background: this study attempted to investigate traffic accident fatalities during 2004-2009 and the effect of fuel rationing on traffic accident fatalities .   materials and methods: this was a cross-sectional study on available data of all traffic accident fatalities in fars province, iran, during 2004-2009. to identify and fit the best model, various instruments, including the autocorrelatio...

Journal: :iranian journal of public health 0
masoud mehrpour 1. dept. of neurology, iran university of medical sciences , tehran, iran. narges sadat shams-hosseini 2. dept. of occupational and environmental medicine, center research of occupational disease; firoozgar clinical research developmental center, tehran university of medical sciences , tehran, iran. saeed rezaali 3. sina ms research center, sina hospital, islamic azad university, tehran medical branch , tehran, iran. mohammad ali sahraiian 4. dept. of neurology, sina hospital, tehran university of medical sciences , tehran, iran. sara taki 5. firoozgar clinical research developmental center, iran university of medical sciences , tehran, iran.

multiple sclerosis (ms) is one of the autoimmune diseases with an unknown cause. the aim of this study was to explore the link between air quality and ms relapses in patients who suffer from ms.this time-series study was conducted on patients registered at the iranian multiple sclerosis society in 2011-2012. they were randomly selected from patients lived in tehran in the last five years, and h...

2007
Fabio Boschetti

We propose to define the complexity of an ecological model as the statistical complexity of the output it produces. This allows for a direct comparison between data and model complexity. Working with univariate time series, we show that this measure ‘blindly’ discriminates among the different dynamical behaviours a model can exhibit. We then search a model parameter space in order to segment it...

Journal: :Astin Bulletin 2022

Abstract In this study, we propose a nonlinear Bayesian extension of the Lee–Carter (LC) model using single-stage procedure with dimensionality reduction neural network (NN). LC is originally estimated two-stage procedure: data by singular value decomposition followed time series fitting. To address limitations LC, which are attributed to estimation and insufficient fitness data, procedures sta...

2012
Jiti Gao

In this paper, we consider some identification, estimation and specification problems in a class of semi–linear time series models. Existing studies for the stationary time series case have been reviewed and discussed. We also establish some new results for the integrated time series case. In the meantime, we propose a new estimation method and establish a new theory for a class of semi–linear ...

Journal: :CoRR 2015
Conrado Silva Miranda Fernando José Von Zuben

This paper introduces constrained mixtures for continuous distributions, characterized by a mixture of distributions where each distribution has a shape similar to the base distribution and disjoint domains. This new concept is used to create generalized asymmetric versions of the Laplace and normal distributions, which are shown to define exponential families, with known conjugate priors, and ...

Different types of time series analysis models are commonly used for predicting hydrological factors. In this study, the situation of Soleimanieh spring discharge in Kashan was investigated using various time series models and mean monthly flow during 11 year period. Then, spring discharge predicted using the best modals for future 9 years. In this research, the data were analyzed using 12 time...

Journal: :ارتقای ایمنی و پیشگیری از مصدومیتها 0
فرشته زمانی علویجه fereshteh zamani-alavijeh دانشگاه علوم پزشکی جندی شاپور اهوازسازمان اصلی تایید شده: دانشگاه علوم پزشکی جندی شاپور اهواز (ahvaz jundishapur university of medical sciences) طاهره دهداری tahereh dehdari دانشگاه علوم پزشکی تهرانسازمان اصلی تایید شده: دانشگاه علوم پزشکی تهران (tehran university of medical sciences) کامبیز احمدی انگالی kambiz ahmadi angali دانشگاه علوم پزشکی جندی شاپور اهوازسازمان اصلی تایید شده: دانشگاه علوم پزشکی جندی شاپور اهواز (ahvaz jundishapur university of medical sciences) مینا تقی راهداری mina taghi rahdari دانشگاه علوم پزشکی جندی شاپور اهوازسازمان اصلی تایید شده: دانشگاه علوم پزشکی جندی شاپور اهواز (ahvaz jundishapur university of medical sciences) طاهره آذرآبدار tahereh azar-abdar دانشگاه علوم پزشکی تبریزسازمان اصلی تایید شده: دانشگاه علوم پزشکی تبریز (tabriz university of medical sciences) اصغر اشرفی حافظ asghar ashrafi hafez دانشگاه علوم پزشکی شهید بهشتیسازمان اصلی تایید شده: دانشگاه علوم پزشکی شهید بهشتی (shahid beheshti university of medical sciences) اکبر بابائی حیدرآبادی

background and objective: scorpion sting and snakebite are the important problems in some area such as iran that must be addressed. this study was to investigate temporal pattern of scorpion sting and snakebite incidence in patients referred to masjedsoleiman’s main hospital, during 24 months from 21 march 2008 to 20 march 2009. materials and methods: it was an analytical study to scrutiny of m...

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function paginate(evt) { url=/search_year_filter/ var term=document.getElementById("search_meta_data").dataset.term pg=parseInt(evt.target.text) var data={ "year":filter_year, "term":term, "pgn":pg } filtered_res=post_and_fetch(data,url) window.scrollTo(0,0); } function update_search_meta(search_meta) { meta_place=document.getElementById("search_meta_data") term=search_meta.term active_pgn=search_meta.pgn num_res=search_meta.num_res num_pages=search_meta.num_pages year=search_meta.year meta_place.dataset.term=term meta_place.dataset.page=active_pgn meta_place.dataset.num_res=num_res meta_place.dataset.num_pages=num_pages meta_place.dataset.year=year document.getElementById("num_result_place").innerHTML=num_res if (year !== "unfilter"){ document.getElementById("year_filter_label").style="display:inline;" document.getElementById("year_filter_place").innerHTML=year }else { document.getElementById("year_filter_label").style="display:none;" document.getElementById("year_filter_place").innerHTML="" } } function update_pagination() { search_meta_place=document.getElementById('search_meta_data') num_pages=search_meta_place.dataset.num_pages; active_pgn=parseInt(search_meta_place.dataset.page); document.getElementById("pgn-ul").innerHTML=""; pgn_html=""; for (i = 1; i <= num_pages; i++){ if (i===active_pgn){ actv="active" }else {actv=""} pgn_li="
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  • "; pgn_html+=pgn_li; } document.getElementById("pgn-ul").innerHTML=pgn_html var pgn_links = document.querySelectorAll('.mypgn'); pgn_links.forEach(function(pgn_link) { pgn_link.addEventListener('click', paginate) }) } function post_and_fetch(data,url) { showLoading() xhr = new XMLHttpRequest(); xhr.open('POST', url, true); xhr.setRequestHeader('Content-Type', 'application/json; charset=UTF-8'); xhr.onreadystatechange = function() { if (xhr.readyState === 4 && xhr.status === 200) { var resp = xhr.responseText; resp_json=JSON.parse(resp) resp_place = document.getElementById("search_result_div") resp_place.innerHTML = resp_json['results'] search_meta = resp_json['meta'] update_search_meta(search_meta) update_pagination() hideLoading() } }; xhr.send(JSON.stringify(data)); } function unfilter() { url=/search_year_filter/ var term=document.getElementById("search_meta_data").dataset.term var data={ "year":"unfilter", "term":term, "pgn":1 } filtered_res=post_and_fetch(data,url) } function deactivate_all_bars(){ var yrchart = document.querySelectorAll('.ct-bar'); yrchart.forEach(function(bar) { bar.dataset.active = false bar.style = "stroke:#71a3c5;" }) } year_chart.on("created", function() { var yrchart = document.querySelectorAll('.ct-bar'); yrchart.forEach(function(check) { check.addEventListener('click', checkIndex); }) }); function checkIndex(event) { var yrchart = document.querySelectorAll('.ct-bar'); var year_bar = event.target if (year_bar.dataset.active == "true") { unfilter_res = unfilter() year_bar.dataset.active = false year_bar.style = "stroke:#1d2b3699;" } else { deactivate_all_bars() year_bar.dataset.active = true year_bar.style = "stroke:#e56f6f;" filter_year = chart_data['labels'][Array.from(yrchart).indexOf(year_bar)] url=/search_year_filter/ var term=document.getElementById("search_meta_data").dataset.term var data={ "year":filter_year, "term":term, "pgn":1 } filtered_res=post_and_fetch(data,url) } } function showLoading() { document.getElementById("loading").style.display = "block"; setTimeout(hideLoading, 10000); // 10 seconds } function hideLoading() { document.getElementById("loading").style.display = "none"; } -->