Research & Reviews : Journal of Statistics
Volume 7, Issue 1 (2018)
Published
Table of contents
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Some Imputation Methods in Two-Phase Sampling Scheme for Estimation of Population Mean
Abstract: In this paper, authors have proposed a class of dual to ratio estimator for estimating the finite population mean in presence of missing values in two-phase sampling design. Two different sampling designs in two-phase sampling are compared under imputed data. The bias and MSE of suggested estimator is derived in the form of population parameters using the concept of large sample approximation. Numerical studies are performed over two populations using …
Published in Research & Reviews : Journal of Statistics · Vol. 7, Issue 1, 2018 · pp. 1–16 Read article
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Stock Market Forecasting Using Time Invariant Fuzzy Time Series Model
Abstract: Stock market volatility is an important for investment, option pricing and financial market regulation. In recent years a different types of models which apparently predict changes in stock market prices have been introduced. There are many methods in the literature to solve the problem of future prediction. The present study provides a foundation for the development and application of fuzzy time series model for short term investor as well as …
Published in Research & Reviews : Journal of Statistics · Vol. 7, Issue 1, 2018 · pp. 104s–111s Read article
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Bayesian Analysis of Operating Characteristic Curves of Single Sampling Plans by Attributes under Mixture of Two Binomial Distributions
Abstract: In the current scenario, manufacturing of products in single stream is not enough to meet the needs of consumers and in order to increase the production, two or more streams are required and the lots are formed from various streams. The production unit differs due to input raw materials, machineries, manpower and management, there may be inherent variation among the quality of the products manufactured from different streams. In this …
Published in Research & Reviews : Journal of Statistics · Vol. 7, Issue 1, 2018 · pp. 12s–23s Read article
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Asymptotic Test for Parameters of Two Power Function Distributions
Abstract: In this article we have presented some of asymptotic distributions related to two power function distributions. The Asymptotic conditional distribution of complete sufficient statistics of the parameter of interest is obtained by conditioning the distribution of complete sufficient of nuisance parameter is held fixed, Using this conditional distribution we have derived the asymptotic Uniformly Most Powerful Unbiased (UMPU) tests for testing hypotheses (i) one parameter is larger than the another …
Published in Research & Reviews : Journal of Statistics · Vol. 7, Issue 1, 2018 · pp. 17–21 Read article
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Empirical Study on Gini Ratio for left Truncated Pareto Model
Abstract: In this paper, the Gini’s concentration ratio is used to find the variability in district size distribution based on the Pareto model. We studied the variability of the male and female rural population of all districts in Tamil Nadu state as per 2011 census data using the Gini’s concentration ratio based on Pareto distribution and it is found that the Gini’s concentration ratio for female population is greater than the …
Published in Research & Reviews : Journal of Statistics · Vol. 7, Issue 1, 2018 · pp. 1s–4s Read article
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Applications of Marshall-Olkin Generalized Family of Distributions
Abstract: In this paper, we discuss the applications of Marshall-Olkin extended distributions introduced by Marshall and Olkin A new method for adding a parameter to a family of distributions with Application to the Exponential and Weibull Families, Biometrica, 84, 641-652. We provide several applications of the Marshall-Olkin extended family of distributions in reliability theory, entropy analysis, stress-strength reliability modelling, exponentiated generalized distributions, acceptance sampling inspection plans, record values and autoregressive minification …
Published in Research & Reviews : Journal of Statistics · Vol. 7, Issue 1, 2018 · pp. 22–37 Read article
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Bayesian Weibull Model in Survival Analysis
Abstract: In this paper, we examine the performance of Maximum Likelihood Estimation (MLE) and Bayesian estimation of survival function of Weibull distribution with two parameters to the assigning informative prior and with three loss functions, namely, Linear Exponential (LINEX) Loss, General Entropy Loss and Squared Error Loss. Here the simulation study is carried out and the statistical analysis is done. Keywords: Weibull distribution, maximum likelihood estimation, Bayesian estimation, linear exponential loss, …
Published in Research & Reviews : Journal of Statistics · Vol. 7, Issue 1, 2018 · pp. 24s–29s Read article
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Data Mining Methods for Large Data
Abstract: High dimensional data classification becomes a challenging task because data are large, complex to handle, heterogeneous and hierarchical. In order to reduce the data set without affecting the classifier accuracy, the feature selection plays a vital role in large datasets and which increases the efficiency of classification to choose the important features for high dimensional classification, when those features are irrelevant or correlated. Therefore feature selection is considered to be …
Published in Research & Reviews : Journal of Statistics · Vol. 7, Issue 1, 2018 · pp. 30s–35s Read article
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Designing Reliability Single Sampling Plans based on Exponentiated Rayleigh Distribution
Abstract: Reliability sampling plans are used in manufacturing industries to take decision on the disposition of lots of finished products based on the information obtained from concerned life test. Among various schemes, hybrid censoring scheme is applied with an objective of saving both time and cost of inspecting the products simultaneously. Parameters of the reliability sampling plans under hybrid censoring scheme are determined corresponding to the lifetime distribution. Exponential, Weibull, Rayleigh …
Published in Research & Reviews : Journal of Statistics · Vol. 7, Issue 1, 2018 · pp. 36s–40s Read article
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Estimation of Population Mean Using Ratio cum Product Imputation Techniques in Sample Survey
Abstract: In this paper, three generalized classes of ratio cum product compromised imputation techniques in single phase sampling scheme and its properties have been studied. Their mean square error (MSE) expressions and percentage relative efficiency (PRE) are compared with the sample mean, ratio, compromised and Ahmed method of imputation in case of missing data, and necessary conditions are derived. Further, theoretical results have been verified through empirical studies with the help …
Published in Research & Reviews : Journal of Statistics · Vol. 7, Issue 1, 2018 · pp. 38–49 Read article
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Dual Principal Component Analysis in Software Reliability Studies
Abstract: Software usage has been occupying major parts in all the activities of individuals as well as organizations. Expectation of the end users about failure free operations of software is also increasing rapidly. Zhang and Pham defined 32 environmental factors for studying reliability of software and categorized them into five groups. Later Zhu et al. proposed to use information about three principal components extracted from 10 environmental factors only to study …
Published in Research & Reviews : Journal of Statistics · Vol. 7, Issue 1, 2018 · pp. 41s–46s Read article
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Least Squares and Weighted Least Squares Median Rank Estimation Method for an Inverse Weibull Distribution for Progressively Type-II Censored Samples
Abstract: Inverse Weibull distribution is non-monotonic and unimodal hazard function distribution having wider application in reliability and life testing. Reciprocal of a random variable distributed according to the Weibull distribution has the inverse Weibull distribution. This paper attempts to study the classical approach for parameter estimation of inverse Weibull distribution under progressive type II censoring. Least square median rank estimator and weighted least square median rank estimator are derived, it admits …
Published in Research & Reviews : Journal of Statistics · Vol. 7, Issue 1, 2018 · pp. 47s–52s Read article
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Bayesian Approximation Techniques of Inverse Rayleigh Distribution
Abstract: The present study is concerned with the estimation of inverse Rayleighdistribution using various Bayesian approximation techniques like normal approximation, and Tierney and Kadane (T-K) approximation. Different informative and non-informative priors are used to obtain the Baye’s estimate of inverse Rayleighdistribution under different approximation techniques. The simulation study has been conducted for comparison of Baye’s estimates obtained under different approximations using different priors. A real life example has also been discussed …
Published in Research & Reviews : Journal of Statistics · Vol. 7, Issue 1, 2018 · pp. 50–59 Read article
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Monitoring Process Performance using Multivariate Control Chart
Abstract: Statistical Process Control (SPC) is the most important procedure and decision making method which allows us to see when a process is working properly and when it is not. Walter A. Shewhart developed the concept of control chart in 1920’s, which provides a simple way to determine if the process is in control or not. Variation is present in any process, deciding when the variation is natural and when it …
Published in Research & Reviews : Journal of Statistics · Vol. 7, Issue 1, 2018 · pp. 53s–56s Read article
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Object Recognition by Multi-Scale Color Local Binary Pattern
Abstract: This paper presents a multi-scale color local binary pattern based method for object recognition. Several advanced methods have been proposed for object recognition using deep neural networks. Although these methods offer high accuracy with many number of object classes, the high complexity of these methods requires large number of training examples and computational resources. This paper attempts to solve the object recognition problem for limited number of well known object …
Published in Research & Reviews : Journal of Statistics · Vol. 7, Issue 1, 2018 · pp. 57s–61s Read article
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Acceptance Single Sampling Plan Based on Truncated Life Tests for the Weibull-Poisson Distribution
Abstract: In this paper a new distribution is used to design the plan parameters of acceptance single sampling plan through percentiles of Weibull-Poisson distribution. The life of the product is assumed to follow Weibull-Poisson distribution. The minimum sample size satisfying the specified levels of consumer’s risk and producer’s risk are obtained. The operating characteristic values are given and the ratio dq is obtained which ensures the producer’s risk at 5% level. …
Published in Research & Reviews : Journal of Statistics · Vol. 7, Issue 1, 2018 · pp. 5s–11s Read article
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Estimation of Edge in Population of Binary Tree Using Stratified Sampling Procedure
Abstract: Sampling methodologies is a tool to investigate about the information of unknown population parameters. Sometimes the population has the tree structure where one node has two or many paths to scatter. For example, from one airport, there are many routes to travel to different airports; and further, other airports have many similar links. This creates graphical structure of connectivity among different airports around the world. Now the problem of investigation …
Published in Research & Reviews : Journal of Statistics · Vol. 7, Issue 1, 2018 · pp. 60–73 Read article
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Principal Component Analysis for Outlier Detection
Abstract: Principal Components Analysis (PCA) is one of the well-known and frequently used multivariate exploratory data analyses. PCA is concerned with analyzing and understanding data in high dimensions, that is to say, PCA method analyzes data sets that represent observations which are identified by several dependent variables that are inter-correlated. Multidimensional scaling (MDS) is a technique that makes a map displaying the comparative attitudes of a number of objects or cases, …
Published in Research & Reviews : Journal of Statistics · Vol. 7, Issue 1, 2018 · pp. 62s–68s Read article
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Robust Regression Models for Identifying Outliers in Medical Data
Abstract: Before applying any multivariate statistical analysis, it is important to determine whether outliers are present in the dataset. In regression analysis, the presence of outliers in the dataset can strongly mislead the classical least squares estimator and lead to unreliable results. In this paper, we prove the minimum covariance determinant estimator, which is commonly applied in a robust statistic to estimate location parameters and multivariate scales. These ideas can be …
Published in Research & Reviews : Journal of Statistics · Vol. 7, Issue 1, 2018 · pp. 69s–76s Read article
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Statistical Impact of Climate Variability and Changes on Air Pollution Related to Respiratory Diseases
Abstract: Respiratory diseases constitute one of the leading causes of ill health for both adults and children worldwide. This disease is the first point of contact with air pollutants. 175 hospital admissions with respiratory diseases during May 2016 to October 2016 in Southern districts Tamil Nadu were taken into account for this research work. The data were analyzed with multiple logistic regression analysis by using R software. The aim of this …
Published in Research & Reviews : Journal of Statistics · Vol. 7, Issue 1, 2018 · pp. 77s–84s Read article
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Time Series Model for National Stock Price Prediction
Abstract: The national stock exchange is widest and fully automatic trading system in India. Analysis and prediction of stock market time series data have involved considerable interest from the researchers over the last decade. In this paper, the Nifty 50 closing stock market prices were computed and predicted the trend of stock market fluctuations using time series modeling techniques, like exponential smoothing and autoregressive integrated moving average. The forecasted values of …
Published in Research & Reviews : Journal of Statistics · Vol. 7, Issue 1, 2018 · pp. 85s–90s Read article
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Forecasting Maize Price using Exponential Smoothing Method
Abstract: Maize is emerging as third most important crop after rice and wheat in India. A better understanding of maize price situation and future prices will facilitate farmers and end users to make appropriate decisions regarding buying and selling patterns; hence government should make adequate policies. Exponential smoothing method is appropriate tool in time series analysis. Forecast of maize price can be done by using simple exponential smoothing method. The forecasted …
Published in Research & Reviews : Journal of Statistics · Vol. 7, Issue 1, 2018 · pp. 91s–95s Read article
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Stochastic Modelling and Seasonal Artificial Neural Networks for the Prediction of Monthly Rainfall in India
Abstract: Stochastic modelling for the prediction of monthly rainfall levels with machine learning is dealt within this paper.Rainfall is essential for agriculture and the survival of all living things. Accurate forecasting of rainfall is essential for proper planning and the execution of agricultural activities. Periods of dry weather without rainfall can have major consequences on water supply affecting ground water levels and agriculture. Stochastic modelling has been widely used to time …
Published in Research & Reviews : Journal of Statistics · Vol. 7, Issue 1, 2018 · pp. 96s–103s Read article