Search

  • Select Article Type
  • Abstract Supplements
  • Blood Group Review
  • Call to Arms
  • Hypothesis
  • In Memoriam
  • Interview
  • Introduction
  • Short Report
  • abstract
  • Abstracts
  • Article
  • book-review
  • case-report
  • case-study
  • Clinical Practice
  • Commentary
  • Conference Presentation
  • conference-report
  • congress-report
  • Correction
  • critical-appraisal
  • Editorial
  • Editorial Comment
  • Erratum
  • Events
  • Letter
  • Letter to Editor
  • mini-review
  • minireview
  • News
  • non-scientific
  • Obituary
  • original-paper
  • original-report
  • Original Research
  • Pictorial Review
  • Position Paper
  • Practice Report
  • Preface
  • Preliminary report
  • Product Review
  • rapid-communication
  • Report
  • research-article
  • Research Communicate
  • research-paper
  • Research Report
  • Review
  • review -article
  • review-article
  • review-paper
  • Review Paper
  • Sampling Methods
  • Scientific Commentary
  • short-communication
  • short-report
  • Student Essay
  • Varia
  • Welome
  • Select Journal
  • In Jour Smart Sensing And Intelligent Systems
  • Journal Of Nematology
  • International Journal Advanced Network Monitoring Controls
  • Transport Problems
  • Statistics In Transition

 

Article | 24-August-2017

SEQUENTIAL DATA WEIGHTING PROCEDURES FOR COMBINED RATIO ESTIMATORS IN COMPLEX SAMPLE SURVEYS

In sample surveys weighting is applied to data to increase the quality of estimates. Data weighting can be used for several purposes. Sample design weights can be used to adjust the differences in selection probabilities for non-self weighting sample designs. Sample design weights, adjusted for nonresponse and non-coverage through the sequential data weighting process. The unequal selection probability designs represented the complex sampling designs. Among many reasons of weighting, the most

Aylin Alkaya, H. Öztaş Ayhan, Alptekin Esin

Statistics in Transition New Series, Volume 18 , ISSUE 2, 247–270

Article | 01-December-2012

VISUAL ATTENTION MODEL WITH ADAPTIVE WEIGHTING OF CONSPICUITY MAPS FOR BUILDING DETECTION IN SATELLITE IMAGES

in satellite imaging. The paper explores the potential use of an improved computational model of visual attention for the complex task of building identification in satellite images. It contributes to extend the envelope of application areas of such models and also to expand their current use from single object to multiple object detection. A set of original weighting schemes based on the contribution of different features to the identification of building and non-building areas is first proposed

A.-M. Cretu, P. Payeur

International Journal on Smart Sensing and Intelligent Systems, Volume 5 , ISSUE 4, 742–766

Research Article | 13-December-2017

Model identification and Smart structural vibration Control using ∞Hcontroller

. By selecting appropriate weighting functions∞H controller were designed based on mixed sensitivity approach using singular loop shaping method. The performance of ∞H controller was compared with LQG controller based on vibration reduction. From the results it is observed that the H∞ controller is the best suited for smart structural process.

M. Sridevi, P. Madhavasarma

International Journal on Smart Sensing and Intelligent Systems, Volume 3 , ISSUE 4, 655–671

research-article | 23-April-2020

Spatial distribution and risk area assessment of Aphelenchoides besseyi using geostatistical approaches in Giridih district of Jharkhand, India

utilizing two different geospatial statistical techniques, point pattern and surface interpolation analyses. First, to identify if any significant hotspots of RWTN infestation exists in the district, point pattern optimized hotspot analysis was carried out. Second, inverse distance weighting (IDW) and Kriging were used to generate continuous map of predicted surface of nematode distribution across Giridih. Finally, risk areas of RWTN (population density > ETL) in the district was delineated by utilizing

Sandip Mondal, Matiyar Rahaman Khan, Abhishek Mukherjee

Journal of Nematology, Volume 52 , 1–16

Sampling Methods | 12-July-2018

INTERACTION BETWEEN DATA COLLECTION AND ESTIMATION PHASES IN SURVEYS WITH NONRESPONSE

Inference in surveys with nonresponse has been studied extensively in the literature with a focus on the estimation phase. Propensity weighting and calibrated weighting are among the adjustment methods used to reduce the nonresponse bias. The data collection phase has come into focus more recently; the literature on adaptive survey design emphasizes representativeness and degree of balance as desirable properties of the response obtained from a probability sample. We take an integrated view

Carl-Erik Särndal, Imbi Traat, Kaur Lumiste

Statistics in Transition New Series, Volume 19 , ISSUE 2, 183–200

Article | 30-November-2018

Hazard Grading Model of Terrorist Attack Based on Machine Learning

terrorist attacks. The process of building a hierarchical model is divided into four steps: 1)The 14 indicators with greater influence is standardized by PCA algorithm. We construct a 14-dimensional matrix, and then reduce the matrix from 14 dimensions to 4 dimensions. 2)The K-means algorithm is used to cluster all the terrorist events in the matrix into five major categories, i.e. five hazard levels. 3)Using the entropy weight method finds the weights of each of the 14 indicators, and then weighting

Jun Yu, Tong Xian, Zhiyi Hu, Yutong Liu

International Journal of Advanced Network, Monitoring and Controls, Volume 4 , ISSUE 2, 81–85

Research paper | 30-October-2017

JOINT CALIBRATION ESTIMATOR FOR DUAL FRAME SURVEYS

Mahmoud A. Elkasabi, Steven G. Heeringa, James M. Lepkowski

Statistics in Transition New Series, Volume 16 , ISSUE 1, 7–36

Article | 07-July-2017

M-ESTIMATORS IN BUSINESS STATISTICS

as R and SAS, Stata, the applicability of robust regression methods has increased considerably.The aim of the study is to evaluate one of these methods, namely M-estimation, using data from a survey of small and medium-sized businesses. The comparison involves nine M-estimators, each based on a different weighting function. The results and conclusions are formulated on the basis of empirical data from the DG-1 business survey.

Grażyna Dehnel

Statistics in Transition New Series, Volume 17 , ISSUE 4, 749–762

Article | 31-December-2020

IMPROVING SEAPORT COMPETITIVENESS BY CREATING A CONNECTION TO THE NATIONAL RAIL NETWORK

in the town of Police (the construction of the railway connection with the national network) on its competitive position in relation to seaports in the immediate vicinity. To achieve the assumed goal, the following research methods were used: literature review, documentary method, linear weighting method, and variant analysis. The areas covered by the research study are selective seaports in Zachodniopomorskie Voivodeship (Szczecin, Świnoujście, and Police), Poland. Based on the research studies

Oliwia PIETRZAK, Krystian PIETRZAK, Natalia WAGNER, Andrzej MONTWIŁŁ

Transport Problems, Volume 15 , ISSUE 4, Part 1, 149–161

Research Article | 02-February-2017

Complex Evaluation of Electric Rail Transport Implementation in Vilnius City

support and the size of investment. The accident rate of urban rail transportation is estimated. Comparative criteria of tram and underground lines are selected. The effectiveness of both rail means of transport in Vilnius city are compared according to three multi-criteria evaluation methods: the sum of ratings, simple additive weighting and geometrical means. The final conclusions and recommendations are provided.АннотацияВ статье анализируются актуальные проблемы общественного транспорта города

Gintautas BUREIKA, Stasys STEIŠŪNAS

Transport Problems, Volume 11 , ISSUE 1, 49–60

No Record Found..
Page Actions