• A New Class of Spatial Covariance Functions Generated by Higher-order Kernels 

  Vafaei, Nafiseh؛ Mateu, Jorge؛ Ganji, Masoud؛ Ghorbani, Mohammad (2020-08-01)

  Covariance functions and variograms play a fundamental role in exploratory analysis and statistical modelling of spatial and spatio-temporal datasets. In this paper, we construct a new class of spatial covariance functions ...

  ---

• Machine Learning Models for Housing Prices Forecasting using Registration Data 

  Farahzadi, Mehdi؛ Farnoosh, Rahman؛ Behzadi, Mohammad Hassan (2020-08-01)

  This article has been compiled to identify the best model of housing price forecasting using machine learning methods with maximum accuracy and minimum error. Five important machine learning algorithms are used to predict ...

  ---

• Nonparametric Regression Estimation under Kernel Polynomial Model for Unstructured Data 

  Eskandari, Farzad؛ Naghizade Ardebili, Sima؛ Naderi, Dana؛ Mahdavi, Mohammad؛ Fakhrae, Ali (2020-08-01)

  The nonparametric estimation(NE) of kernel polynomial regression (KPR) model is a powerful tool to visually depict the effect of covariates on response variable, when there exist unstructured and heterogeneous data. In ...

  ---

• Statistical Inference for the Lomax Distribution under Progressively Type-II Censoring with Binomial Removal 

  Zaman, Roshanak؛ Nasiri, Parviz (2020-08-01)

  This paper considers parameter estimations in Lomax distribution under progressive type-II censoring with random removals, assuming that the number of units removed at each failure time has a binomial distribution. The ...

  ---

• Power Normal-Geometric Distribution: Model, Properties and Applications 

  Mahmoodian, Hamed (2020-08-01)

  In this paper, we introduce a new skewed distribution of which normal and power normal distributions are two special cases. This distribution is obtained by taking geometric maximum of independent identically distributed ...

  ---

• Vector Autoregressive Model Selection: Gross Domestic Product and Europe Oil Prices Data Modelling 

  Zamani Mehreyan, S.؛ Sayyareh, Abdolreza (2020-08-01)

   We consider the problem of model selection in vector autoregressive model with Normal innovation. Tests such as Vuong's and Cox's tests are provided for order and model selection, i.e. for selecting the order and a suitable ...

  ---

• Two-stage Procedure in P-Order Autoregressive Process 

  Mahmoudi, Eisa؛ Sajjadipanah, Soudabe؛ Zamani, Mohammadsadegh (2020-08-01)

  In this paper, the two-stage procedure is considered for autoregressive parameters estimation in the p-order autoregressive model ( AR(p)). The point estimation and fixed-size confidence ellipsoids construction are ...

  ---

• Semi-parametric Quantile Regression for Analysing Continuous Longitudinal Responses 

  Khazaei, Omid؛ Ganjali, Mojtaba؛ Khazaei, Mojtaba (2020-08-01)

  Recently, quantile regression (QR) models are often applied for longitudinal data analysis. When the distribution of responses seems to be skew and asymmetric due to outliers and heavy-tails, QR models may work suitably. ...

  ---

• Balanced Acceptance Sampling+m: A Balance Between Entropy and Spatially Balance 

  Veisipour, Hossein؛ Moradi, Mohammad؛ Brown, Jennifer (2020-08-01)

  Balanced acceptance sampling is a relatively new sampling scheme that has potential to improve the efficiency of spatial studies. There are two drawbacks of the design, it can have low entropy and some of the unbiased ...

  ---

• A Note on the Identifiability of General Bayesian Gaussian Models 

  Ghatari, Amirhossein؛ Shabbak, Ashkan؛ Tabrizi, Elham (2021-09-01)

  The main aim of this paper is to investigate the identifiability of Bayesian Gaussian regression model. The model is extensively implemented in the various Bayesian modeling concepts such as model fitting and model selection ...

  ---

• Weibull Analysis with Sequential Order Statistics Under a Power Trend Model for Hazard Rates with Application in Aircraft Data Analysis 

  Hashempour, Majid؛ Doostparastand, Mahdi؛ Velayati Moghaddam, Elaheh (2021-09-01)

      ‎In engineering systems‎, ‎it is usually assumed that the lifetimes of components are independent and identically distributed (iid)‎. ‎But‎, ‎the failure of a component results in a higher load on the remaining ...

  ---

• Goodness of Fit Tests based on Information Criterion for Randomly Censored Data 

  Omidi‎, Fatemeh؛ Habibirad, Arezou؛ Fakoor‎, Vahid (2021-09-01)

  ‎We propose two goodness of fit test statistics based on‎ Cumulative Kullback--Leibler (CKL) information and Cumulative residual Kullback--Leibler (CRKL) information for exponential distributions with unknown parameter and ...

  ---

• Simulated Synthetic Population Projection Using an Extended Model 

  Moeti, Mohammad Taghi؛ navvabpour, Hamidreza؛ Eskandari, farzad (2021-09-01)

  Population projections of small areas have attracted the attention of many researchers in applied demographics for many years. According to the suggested population policies of Iran in recent years and considering the need ...

  ---

• Joint Modeling for Zero-Inflated Beta-Binomial and Normal Responses 

  Azimi, Sedigheh؛ Bahrami Samani, Ehsan؛ Ganjali, Mojtaba (2021-09-01)

  We present a new joint model with random effects for the correlated count with extra zero and continuous responses. In this model, we assume a Zero-Inflated Beta-Binomial distribution for the analysis of over dispersed ...

  ---

• A New Control Chart Based on a Bivariate Beta Distribution 

  Enami, Shohreh؛ Torabi, Hamzeh؛ Akhavan Niaki, Taghi (2021-09-01)

  Abstract. In many practical situations, the quality of a product can be measured based on some quality characteristics in terms of the sum of the percentage of these characteristics utilities. In these cases, control charts ...

  ---

• Best Linear Predictors in a Stationary Second Order Autoregressive process by means of near and far observations 

  Saber, Mohammad Mahdi (2021-09-01)

  In this paper, some predictors for prediction in a stationary second order autoregressive process are introduced. The paper attempts to find the best predictor for some cases such as circumstances there exist a fixed number ...

  ---

• A Method for Analyzing Censored Survival Data with Application to Coronary Heart Disease 

  Rastin, Azam؛ Farid Rouhani, Reza؛ Khalili, Davoud (2021-09-01)

  An objective of analyzing survival data via regression is to develop a predictive model given predictors. However, due to the censoring in response variables and the high dimensionality of predictors, information needed ...

  ---

• Analysis of Wind Speed Data Based on the New Upper Truncated Inverse Weibull Distribution; A Case Study: Ardabil, Iran 

  Yari, Gholamhossein؛ Karimi Ezmareh, Zahra (2021-09-01)

  In this paper, for the first time, the upper truncated inverse Weibull (UTIW) distribution is proposed for modeling wind speed data. Since there is a upper limit for empirical wind speed data, this data can be represented ...

  ---

• A Repetitive Sampling-based Control Chart for Multivariate Weighed Poisson Distribution with Two Different Indexes‎ 

  Enami, Shohreh؛ Torabi, Hamzeh (2019-09-01)

  ‎Control charts using repetitive group sampling have been an attractive topic in the last few years‎. ‎This paper presents a control chart for multivariate weighed Poisson distribution by repetitive sampling with two ...

  ---

• On Dynamic Survival Past Extropy Properties‎ 

  Pakdaman, Zohreh؛ Hashempour‎, Majid (2019-09-01)

    ‎This paper deals with the dynamic survival past extropy as a measure of uncertainty in the past lifetime‎ ‎distributions‎. ‎We introduce a quantile version of the extropy function in past lifetime‎. ‎Various properties ...

  ---

View more