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Articles 1051 - 1080 of 12751
Full-Text Articles in Social and Behavioral Sciences
Estimating The Non-Existent Mean And Variance Of The F-Distribution By Simulation, Hamid Reza Kamali, Parisa Shahnazari-Shahrezaei
Estimating The Non-Existent Mean And Variance Of The F-Distribution By Simulation, Hamid Reza Kamali, Parisa Shahnazari-Shahrezaei
Journal of Modern Applied Statistical Methods
In theory, all moments of some probability distributions do not necessarily exist. In the other words, they may be infinite or undefined. One of these distributions is the F-distribution whose mean and variance have not been defined for the second degree of freedom less than 3 and 5, respectively. In some cases, a large statistical population having an F-distribution may exist and the aim is to obtain its mean and variance which are an estimation of the non-existent mean and variance of F-distribution. This article considers a large sample F-distribution to estimate its non-existent mean and variance using Simul8 simulation …
Ridge Regression Based On Some Robust Estimators, Hatice Samkar, Ozlem Alpu
Ridge Regression Based On Some Robust Estimators, Hatice Samkar, Ozlem Alpu
Journal of Modern Applied Statistical Methods
Robust ridge methods based on M, S, MM and GM estimators are examined in the presence of multicollinearity and outliers. GMWalker, using the LS estimator as the initial estimator is used. S and MM estimators are also used as initial estimators with the aim of evaluating the two alternatives as biased robust methods.
A Flexible Method For Testing Independence In Two-Way Contingency Tables, Peyman Jafari, Noori Akhtar-Danesh, Zahra Bagheri
A Flexible Method For Testing Independence In Two-Way Contingency Tables, Peyman Jafari, Noori Akhtar-Danesh, Zahra Bagheri
Journal of Modern Applied Statistical Methods
A flexible approach for testing association in two-way contingency tables is presented. It is simple, does not assume a specific form for the association and is applicable to tables with nominal-by-nominal, nominal-by-ordinal, and ordinal-by-ordinal classifications.
Statistical And Mathematical Modeling Versus Nhst? There’S No Competition!, Joseph Lee Rodgers
Statistical And Mathematical Modeling Versus Nhst? There’S No Competition!, Joseph Lee Rodgers
Journal of Modern Applied Statistical Methods
Some of Robinson & Levin’s critique of Rodgers (2010) is cogent, helpful, and insightful – although limiting. Recent methodology has advanced through the development of structural equation modeling, multi-level modeling, missing data methods, hierarchical linear modeling, categorical data analysis, as well as the development of many dedicated and specific behavioral models. These methodological approaches are based on a revised epistemological system, and have emerged naturally, without the need for task forces, or even much self-conscious discussion. The original goal was neither to develop nor promote a modeling revolution. That has occurred; I documented its development and its status. Two organizing …
Effect Of Measurement Errors On The Separate And Combined Ratio And Product Estimators In Stratified Random Sampling, Housila P. Singh, Namrata Karpe
Effect Of Measurement Errors On The Separate And Combined Ratio And Product Estimators In Stratified Random Sampling, Housila P. Singh, Namrata Karpe
Journal of Modern Applied Statistical Methods
Separate and combined ratio, product and difference estimators are introduced for population mean μY of a study variable Y using auxiliary variable X in stratified sampling when the observations are contaminated with measurement errors. The bias and mean squared error of the proposed estimators have been derived under large sample approximation and their properties are analyzed. Generalized versions of these estimators are given along with their properties.
Recommended Sample Size For Conducting Exploratory Factor Analysis On Dichotomous Data, Robert H. Pearson, Daniel J. Mundform
Recommended Sample Size For Conducting Exploratory Factor Analysis On Dichotomous Data, Robert H. Pearson, Daniel J. Mundform
Journal of Modern Applied Statistical Methods
Minimum sample sizes are recommended for conducting exploratory factor analysis on dichotomous data. A Monte Carlo simulation was conducted, varying the level of communalities, number of factors, variable-to-factor ratio and dichotomization threshold. Sample sizes were identified based on congruence between rotated population and sample factor loadings.
Incidence And Prevalence For A Triply Censored Data, Hilmi F. Kittani
Incidence And Prevalence For A Triply Censored Data, Hilmi F. Kittani
Journal of Modern Applied Statistical Methods
The model introduced for the natural history of a progressive disease has four disease states which are expressed as a joint distribution of three survival random variables. Covariates are included in the model using Cox’s proportional hazards model with necessary assumptions needed. Effects of the covariates are estimated and tested. Formulas for incidence in the preclinical, clinical and death states are obtained, and prevalence formulas are obtained for the preclinical and clinical states. Estimates of the sojourn times in the preclinical and clinical states are obtained.
Robust Estimators In Logistic Regression: A Comparative Simulation Study, Sanizah Ahmad, Norazan Mohamed Ramli, Habshah Midi
Robust Estimators In Logistic Regression: A Comparative Simulation Study, Sanizah Ahmad, Norazan Mohamed Ramli, Habshah Midi
Journal of Modern Applied Statistical Methods
The maximum likelihood estimator (MLE) is commonly used to estimate the parameters of logistic regression models due to its efficiency under a parametric model. However, evidence has shown the MLE has an unduly effect on the parameter estimates in the presence of outliers. Robust methods are put forward to rectify this problem. This article examines the performance of the MLE and four existing robust estimators under different outlier patterns, which are investigated by real data sets and Monte Carlo simulation.
Use Of Two Variables Having Common Mean To Improve The Bar-Lev, Bobovitch And Boukai Randomized Response Model, Oluseun Odumade, Sarjinder Singh
Use Of Two Variables Having Common Mean To Improve The Bar-Lev, Bobovitch And Boukai Randomized Response Model, Oluseun Odumade, Sarjinder Singh
Journal of Modern Applied Statistical Methods
A new method to improve the randomized response model due to Bar-Lev, Bobovitch and Boukai (2004) is suggested. It has been observed that if two sensitive (or non sensitive) variables exist that are related to the main study sensitive variable, then those variables could be used to construct ratio type adjustments to the usual estimator of the population mean of a sensitive variable due to Bar-Lev, Bobovitch and Boukai (2004).The relative efficiency of the proposed estimators is studied with respect to the Bar-Lev, Bobovitch and Boukai (2004) models under different situations.
Maximum Downside Semi Deviation Stochastic Programming For Portfolio Optimization Problem, Anton Abdulbasah Kamil, Khlipah Ibrahim
Maximum Downside Semi Deviation Stochastic Programming For Portfolio Optimization Problem, Anton Abdulbasah Kamil, Khlipah Ibrahim
Journal of Modern Applied Statistical Methods
Portfolio optimization is an important research field in financial decision making. The chief character within optimization problems is the uncertainty of future returns. Probabilistic methods are used alongside optimization techniques. Markowitz (1952, 1959) introduced the concept of risk into the problem and used a mean-variance model to identify risk with the volatility (variance) of the random objective. The mean-risk optimization paradigm has since been expanded extensively both theoretically and computationally. A single stage and two stage stochastic programming model with recourse are presented for risk averse investors with the objective of minimizing the maximum downside semideviation. The models employ the …
On Bayesian Shrinkage Setup For Item Failure Data Under A Family Of Life Testing Distribution, Gyan Prakash
On Bayesian Shrinkage Setup For Item Failure Data Under A Family Of Life Testing Distribution, Gyan Prakash
Journal of Modern Applied Statistical Methods
Properties of the Bayes shrinkage estimator for the parameter are studied of a family of probability density function when item failure data are available. The symmetric and asymmetric loss functions are considered for two different prior distributions. In addition, the Bayes estimates of reliability function and hazard rate are obtained and their properties are studied.
Bayesian Analysis Of Location-Scale Family Of Distributions Using S-Plus And R Software, Sheikh Parvaiz Ahmad, Aquil Ahmed, Athar Ali Khan
Bayesian Analysis Of Location-Scale Family Of Distributions Using S-Plus And R Software, Sheikh Parvaiz Ahmad, Aquil Ahmed, Athar Ali Khan
Journal of Modern Applied Statistical Methods
The Normal and Laplace’s methods of approximation for posterior density based on the location-scale family of distributions in terms of the numerical and graphical simulation are examined using S-PLUS and R Software.
Empirical Characteristic Function Approach To Goodness Of Fit Tests For The Logistic Distribution Under Srs And Rss, M. T. Alodat, S. A. Al-Subh, Kamaruzaman Ibrahim, Abdul Aziz Jemain
Empirical Characteristic Function Approach To Goodness Of Fit Tests For The Logistic Distribution Under Srs And Rss, M. T. Alodat, S. A. Al-Subh, Kamaruzaman Ibrahim, Abdul Aziz Jemain
Journal of Modern Applied Statistical Methods
The integral of the squares modulus of the difference between the empirical characteristic function and the characteristic function of the hypothesized distribution is used by Wong and Sim (2000) to test for goodness of fit. A weighted version of Wong and Sim (2000) under ranked set sampling, a sampling technique introduced by McIntyre (1952), is examined. Simulations that show the ranked set sampling counterpart of Wong and Sim (2000) is more powerful.
Bayesian Analysis For Component Manufacturing Processes, L. V. Nandakishore
Bayesian Analysis For Component Manufacturing Processes, L. V. Nandakishore
Journal of Modern Applied Statistical Methods
In manufacturing processes various machines are used to produce the same product. Based on the age, make, etc., of the machines the output may not always follow the same distribution. An attempt is made to introduce Bayesian techniques for a two machine problem. Two cases are presented in this article.
Neighbor Balanced Block Designs For Two Factors, Seema Jaggi, Cini Varghese, N. R. Abeynayake
Neighbor Balanced Block Designs For Two Factors, Seema Jaggi, Cini Varghese, N. R. Abeynayake
Journal of Modern Applied Statistical Methods
The concept of Neighbor Balanced Block (NBB) designs is defined for the experimental situation where the treatments are combinations of levels of two factors and only one of the factors exhibits a neighbor effect. Methods of constructing complete NBB designs for two factors in a plot that is strongly neighbor balanced for one factor are obtained. These designs are variance balanced for estimating the direct effects of contrasts pertaining to combinations of levels of both the factors. An incomplete NBB design for two factors is also presented and is found to be partially variance balanced with three associate classes.
Ann Forecasting Models For Ise National-100 Index, Ozer Ozdemir, Atilla Aslanargun, Senay Asma
Ann Forecasting Models For Ise National-100 Index, Ozer Ozdemir, Atilla Aslanargun, Senay Asma
Journal of Modern Applied Statistical Methods
Prediction of the outputs of real world systems with accuracy and high speed is crucial in financial analysis due to its effects on worldwide economics. Because the inputs of the financial systems are timevarying functions, the development of algorithms and methods for modeling such systems cannot be neglected. The most appropriate forecasting model for the ISE national-100 index was investigated. Box- Jenkins autoregressive integrated moving average (ARIMA) and artificial neural networks (ANN) are considered by using several evaluations. Results showed that the ANN model with linear architecture better fits the candidate data.
Markov Chain Analysis And Student Academic Progress: An Empirical Comparative Study, Shafiqah Alawadhi, Mokhtar Konsowa
Markov Chain Analysis And Student Academic Progress: An Empirical Comparative Study, Shafiqah Alawadhi, Mokhtar Konsowa
Journal of Modern Applied Statistical Methods
An application of Markov Chain Analysis of student flow at Kuwait University is presented based on a random sample of 1,100 students from the academic years 1996-1997 to 2004-2005. Results were obtained for each college and in total which allows for a comparative study. The students’ mean lifetimes in different levels of study in the colleges as well as the percentage of dropping out of the system are estimated.
Reducing Selection Bias In Analyzing Longitudinal Health Data With High Mortality Rates, Xian Liu, Charles C. Engel, Han Kang, Kristie L. Gore
Reducing Selection Bias In Analyzing Longitudinal Health Data With High Mortality Rates, Xian Liu, Charles C. Engel, Han Kang, Kristie L. Gore
Journal of Modern Applied Statistical Methods
Two longitudinal regression models, one parametric and one nonparametric, are developed to reduce selection bias when analyzing longitudinal health data with high mortality rates. The parametric mixed model is a two-step linear regression approach, whereas the nonparametric mixed-effects regression model uses a retransformation method to handle random errors across time.
Rhode Island Current Conditions Index — November 2010, Leonard Lardaro
Rhode Island Current Conditions Index — November 2010, Leonard Lardaro
The Rhode Island Current Conditions Index
No abstract provided.
Torch (November/December 2010), Brandon Baldwin, Civil Rights Team Project
Torch (November/December 2010), Brandon Baldwin, Civil Rights Team Project
Torch: The Civil Rights Team Project Newsletter
No abstract provided.
Student Teaching Abroad Inter-Group Outcomes: A Comparative, Country-Specific Analysis, Binbin Jiang, Debra Coffey, Robert A. Devillar, Sandra Bryan
Student Teaching Abroad Inter-Group Outcomes: A Comparative, Country-Specific Analysis, Binbin Jiang, Debra Coffey, Robert A. Devillar, Sandra Bryan
Journal of International and Global Studies
As student diversity becomes the norm in U.S. schools, future teachers must be comprehensively prepared to work with the increasingly diverse student population through application of informed instruction that enhances general and individual student learning and outcomes. Teacher Education programs increasingly promote student teaching in international settings as a substantive step to develop teachers who embody these new competencies and instructional practices. The proposed paper presentation offers a framework and analysis highlighting similarities and differences between two groups of student teachers in Belize (2005 and 2008). Findings are comparative and relate to the type and degree of (1) cultural-, professional-, …
Collaborative Researchers Or Cold Warriors? The Origins, Activities, And Legacy Of The Smithsonian’S Institute Of Social Anthropology, A. Peter Castro
Collaborative Researchers Or Cold Warriors? The Origins, Activities, And Legacy Of The Smithsonian’S Institute Of Social Anthropology, A. Peter Castro
Journal of International and Global Studies
International research collaboration is increasingly popular, providing many scholarly and practical benefits. These collaborative endeavors also encounter obstacles and costs, including ones involving issues of power and professional ethics. My study seeks to widen our understanding of international collaborative social science research by examining the complex origins, diverse activities, and clouded legacy of the Smithsonian Institution’s Institute of Social Anthropology (ISA). The ISA was an innovative collaborative teaching and research program founded by Julian Steward during World War II to meet many goals, including increasing social science capacity in Latin America, expanding knowledge about contemporary cultural change, strengthening area expertise …
Kenan Malik. From Fatwa To Jihad: The Rushdie Affair And Its Aftermath. New York: Melville House, 2010, Elizabeth Lhost
Kenan Malik. From Fatwa To Jihad: The Rushdie Affair And Its Aftermath. New York: Melville House, 2010, Elizabeth Lhost
Journal of International and Global Studies
No abstract provided.
Cyril Belshaw. Fixing The World: An Anthropologist Considers Our Future. Vancouver, Bc: Ingram Books, 2010., A. B. Diefenderfer
Cyril Belshaw. Fixing The World: An Anthropologist Considers Our Future. Vancouver, Bc: Ingram Books, 2010., A. B. Diefenderfer
Journal of International and Global Studies
No abstract provided.
William Douglass & Joseba Zulaika. Basque Culture: Anthropological Perspectives. Reno, Nevada: University Of Nevada Press, 2007., Maite Núñez-Betelu Ph.D.
William Douglass & Joseba Zulaika. Basque Culture: Anthropological Perspectives. Reno, Nevada: University Of Nevada Press, 2007., Maite Núñez-Betelu Ph.D.
Journal of International and Global Studies
No abstract provided.
All Roads Lead To Najaf: Grand Ayatollah Al-Sistani’S Quiet Impact On Iraq’S 2010 Ballot And Its Aftermath, Ernesto H. Braam Ll.M
All Roads Lead To Najaf: Grand Ayatollah Al-Sistani’S Quiet Impact On Iraq’S 2010 Ballot And Its Aftermath, Ernesto H. Braam Ll.M
Journal of International and Global Studies
This paper explores the influence of Grand Ayatollah Sayyid Ali al-Sistani on political developments in Iraq in the post-Saddam Husayn era and examines the discourse surrounding Sistani regarding his perceived activism or “quietism” with respect to political matters. The doctrine and statements of this most prominent Shi’i religious leader are analyzed and interpreted in the context of Iraq’s contemporary, often violent, history. Specifically, Sistani’s public statements during the run-up to the 2010 parliamentary elections and their aftermath are examined for the extent to which his voice resonates among the Iraqi people. The analysis reveals that Sistani demonstrates concern for the …
Cross-Cultural Professional Development For Teachers Within Global Imbalances Of Power, Janelle Johnson
Cross-Cultural Professional Development For Teachers Within Global Imbalances Of Power, Janelle Johnson
Journal of International and Global Studies
Many of the international, supranational, national, and grassroots development organizations working in the field of education channel their efforts into professional development for teachers. This type of cross-cultural educational development occurs on a massive scale, but the amount of scholarly critique and engagement are disproportionately small. As part of a larger study, this chapter on transnational teacher education draws upon development studies and critical and Indigenous decolonizing methodologies for its theoretical frame. This praxis-oriented framework is used to conduct a comparative case study analysis of two distinct models of cross-cultural professional development for teachers: a small locally based non-profit development …
Michael Shermer. The Mind Of The Market – Compassionate Apes, Competitive Humans, And Other Tales From Evolutionary Economics. New York: Times Books, Henry Holt And Company, 2008., Anthony Clark Ph.D.
Michael Shermer. The Mind Of The Market – Compassionate Apes, Competitive Humans, And Other Tales From Evolutionary Economics. New York: Times Books, Henry Holt And Company, 2008., Anthony Clark Ph.D.
Journal of International and Global Studies
No abstract provided.
Tanja Winter. The Impact Of Electricity: Development, Desires And Dilemmas. New York: Berghahn Books, 2008., Rosemary Fumpa-Makano Ph.D.
Tanja Winter. The Impact Of Electricity: Development, Desires And Dilemmas. New York: Berghahn Books, 2008., Rosemary Fumpa-Makano Ph.D.
Journal of International and Global Studies
No abstract provided.
Joery Matthys. Private Security Companies And Private Military Companies: A Comparative And Economical Analysis. Antwerp: Maklu, 2010., Martijn Mos
Journal of International and Global Studies
No abstract provided.