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Articles 601 - 630 of 15630
Full-Text Articles in Social and Behavioral Sciences
Interim Management Arrangements For The Commercial Mackerel Fishery. Ministers Responses To The Final Report Of The Mackerel Independent Advisory Panel. (Fisheries Management Paper 164), Kim Chance
Fisheries management papers
The Government recognises that the mackerel fishery is important to both the recreational and commercial fishing sectors. However, the purpose of these arrangements is not to allocate the mackerel resource between the sectors but within the commercial sector. Resources sharing issues are subject to investigation in the Integrated Fisheries Management Review where alternative management frameworks and principles for allocating fish stocks to ensure maximum benefit to the community are examined.
2002 United States Senate Runoff Survey, Susan E. Howell
2002 United States Senate Runoff Survey, Susan E. Howell
Survey Research Center Publications
The race for the U.S. Senate seat is now a dead heat with Landrieu and Terrell separated by only one percentage point in a cross-section of Louisiana registered voters. As expected, Landrieu holds a commanding lead among African American voters, and Terrell is favored by a majority of white voters. As is often the case, the outcome will hinge on a combination of African American turnout and the percent of the white vote Landrieu is able to obtain.
Habitat Structure And Alarm Call Dialects In Gunnison's Prairie Dog (Cynomys Gunnisoni), Bianca S. Perla, C. N. Slobodchikoff
Habitat Structure And Alarm Call Dialects In Gunnison's Prairie Dog (Cynomys Gunnisoni), Bianca S. Perla, C. N. Slobodchikoff
Habitat Assessment and Management Collection
We examined the relationship between habitat structure and alarm call characteristics in six colonies of Gunnison’s prairie dogs (Cynomys gunnisoni) near Flagstaff, Arizona, before and after a mid-summer vegetation change. We found significant differences in alarm call characteristics between colonies, confirming the existence of alarm call dialects. Differences in frequency components but not temporal components of calls were associated with differences in habitat structure. Playback experiments revealed that differences in alarm call structure affected acoustic transmission of calls through the local habitat. Thus, we identify habitat structure as one factor that may contribute to alarm call differences between colonies of …
Endogenous Gonadal Hormone Exposure And Bone Sarcoma Risk, Dawn M. Cooley, Benjamin C. Beranek, Deborah L. Schlittler, Nita W. Glickman, Lawrence T. Glickman, David J. Waters
Endogenous Gonadal Hormone Exposure And Bone Sarcoma Risk, Dawn M. Cooley, Benjamin C. Beranek, Deborah L. Schlittler, Nita W. Glickman, Lawrence T. Glickman, David J. Waters
Endocrinology Collection
Although experimental and clinical evidence suggest that endogenous sex hormones influence bone sarcoma genesis, the hypothesis has not been adequately tested in an appropriate animal model. We conducted a historical cohort study of Rottweiler dogs because they frequently undergo elective gonadectomy and spontaneously develop appendicular bone sarcomas, which mimic the biological behavior of the osteosarcomas that affect children and adolescents. Data were collected by questionnaire from owners of 683 Rottweiler dogs living in North America. To determine whether there was an association between endogenous sex hormones and risk of bone sarcoma, relative risk (RR) of incidence rates and hazard ratios …
Connecting, November 2002, Volume 4, Issue 4, Nova Southeastern University
Connecting, November 2002, Volume 4, Issue 4, Nova Southeastern University
Connecting: Nova Southeastern University Libraries Newsletter
No abstract provided.
Us And European Trends And Policies Regarding Organic Agriculture, Thomas L. Dobbs
Us And European Trends And Policies Regarding Organic Agriculture, Thomas L. Dobbs
Economics Commentator
No abstract provided.
Constructive Criticism, Ronald C. Serlin
Constructive Criticism, Ronald C. Serlin
Journal of Modern Applied Statistical Methods
Attempts to attain knowledge as certified true belief have failed to circumvent Hume’s injunction against induction. Theories must be viewed as unprovable, improbable, and undisprovable. The empirical basis is fallible, and yet the method of conjectures and refutations is untouched by Hume’s insights. The implications for statistical methodology is that the requisite severity of testing is achieved through the use of robust procedures, whose assumptions have not been shown to be substantially violated, to test predesignated range null hypotheses. Nonparametric range null hypothesis tests need to be developed to examine whether or not effect sizes or measures of association, as …
Extensions Of The Concept Of Exchangeability And Their Applications, Phillip I. Good
Extensions Of The Concept Of Exchangeability And Their Applications, Phillip I. Good
Journal of Modern Applied Statistical Methods
Permutation tests provide exact p-values in a wide variety of practical testing situations. But permutation tests rely on the assumption of exchangeability, that is, under the hypothesis, the joint distribution of the observations is invariant under permutations of the subscripts. Observations are exchangeable if they are independent, identically distributed (i.i.d.), or if they are jointly normal with identical covariances. The range of applications of these exact, powerful, distribution-free tests can be enlarged through exchangeability- preserving transforms, asymptotic exchangeability, partial exchangeability, and weak exchangeability. Original exact tests for comparing the slopes of two regression lines and for the analysis of …
Within Groups Multiple Comparisons Based On Robust Measures Of Location, Rand R. Wilcox, H. J. Keselman
Within Groups Multiple Comparisons Based On Robust Measures Of Location, Rand R. Wilcox, H. J. Keselman
Journal of Modern Applied Statistical Methods
Consider the problem of performing all pair-wise comparisons among J dependent groups based on measures of location associated with the marginal distributions. It is well known that the standard error of the sample mean can be large relative to other estimators when outliers are common. Two general strategies for addressing this problem are to trim a fixed proportion of observations or empirically check for outliers and remove (or down-weight) any that are found. However, simply applying conventional methods for means to the data that remain results in using the wrong standard error. Methods that address this problem have been proposed, …
A Comparison Of The D’Agostino S_U Test To The Triples Test For Testing Of Symmetry Versus Asymmetry As A Preliminary Test To Testing The Equality Of Means, Kimberly T. Perry, Michael R. Stoline
A Comparison Of The D’Agostino S_U Test To The Triples Test For Testing Of Symmetry Versus Asymmetry As A Preliminary Test To Testing The Equality Of Means, Kimberly T. Perry, Michael R. Stoline
Journal of Modern Applied Statistical Methods
This paper evaluates the D’Agostino SU test and the Triples test for testing symmetry versus asymmetry. These procedures are evaluated as preliminary tests in the selection of the most appropriate procedure for testing the equality of means with two independent samples under a variety of symmetric and asymmetric sampling situations. Key words: symmetry; asymmetry; preliminary testing.
Adaptive Tests For Ordered Categorical Data, Vance W. Berger, Anastasia Ivanova
Adaptive Tests For Ordered Categorical Data, Vance W. Berger, Anastasia Ivanova
Journal of Modern Applied Statistical Methods
Consider testing for independence against stochastic order in an ordered 2xJ contingency table, under product multinomial sampling. In applications one may wish to exploit prior information concerning the direction of the treatment effect, yet ultimately end up with a testing procedure with good frequentist properties. As such, a reasonable objective may be to simultaneously maximize power at a specified alternative and ensure reasonable power for all other alternatives of interest. For this objective, none of the available testing approaches are completely satisfactory. A new class of admissible adaptive tests is derived. Each test in this class strictly preserves the Type …
Determining Predictor Importance In Multiple Regression Under Varied Correlational And Distributional Conditions, Tiffany A. Whittaker, Rachel T. Fouladi, Natasha J. Williams
Determining Predictor Importance In Multiple Regression Under Varied Correlational And Distributional Conditions, Tiffany A. Whittaker, Rachel T. Fouladi, Natasha J. Williams
Journal of Modern Applied Statistical Methods
This study examines the performance of eight methods of predictor importance under varied correlational and distributional conditions. The proportion of times a method correctly identified the dominant predictor was recorded. Results indicated that the new methods of importance proposed by Budescu (1993) and Johnson (2000) outperformed commonly used importance methods.
Simulation Study Of Chemical Inhibition Modeling, Pali Sen, Mary Anderson
Simulation Study Of Chemical Inhibition Modeling, Pali Sen, Mary Anderson
Journal of Modern Applied Statistical Methods
The combined effects of the activities of different chemicals are of interest of this study. We simulate for the synthetic data, and fit experimental data for three models and estimate the parameters. We assess the fit of the synthetic data and the experimental data by comparing the coefficients of variation for the parameter estimates and identify the best model for the inhibition process.
A Longitudinal Follow-Up Of Discrete Mass At Zero With Gap, Joseph L. Musial, Patrick D. Bridge, Nicol R. Shamey
A Longitudinal Follow-Up Of Discrete Mass At Zero With Gap, Joseph L. Musial, Patrick D. Bridge, Nicol R. Shamey
Journal of Modern Applied Statistical Methods
The first part of this paper discusses a five-year systematic review of the Journal of Consulting and Clinical Psychology following the landmark power study conducted by Sawilowsky and Hillman (1992). The second part discusses a five-year longitudinal follow-up of a radically nonnormal population distribution: discrete mass at zero with gap. This distribution was based upon a real dataset.
Some Reflections On Significance Testing, Thomas R. Knapp
Some Reflections On Significance Testing, Thomas R. Knapp
Journal of Modern Applied Statistical Methods
This essay presents a variation on a theme from my article “The use of tests of statistical significance”, which appeared in the Spring, 1999, issue of Mid-Western Educational Researcher.
Twenty Nonparametric Statistics And Their Large Sample Approximations, Gail F. Fahoome
Twenty Nonparametric Statistics And Their Large Sample Approximations, Gail F. Fahoome
Journal of Modern Applied Statistical Methods
Nonparametric procedures are often more powerful than classical tests for real world data which are rarely normally distributed. However, there are difficulties in using these tests. Computational formulas are scattered throughout the literature, and there is a lack of availability of tables and critical values. The computational formulas for twenty commonly employed nonparametric tests that have large-sample approximations for the critical value are brought together. Because there is no generally agreed upon lower limit for the sample size, Monte Carlo methods were used to determine the smallest sample size that can be used with the respective large-sample approximation. The statistics …
A Test Of Symmetry, Abdul R. Othman, H. J. Keselman, Rand R. Wilcox, Katherine Fradette, A. R. Padmanabhan
A Test Of Symmetry, Abdul R. Othman, H. J. Keselman, Rand R. Wilcox, Katherine Fradette, A. R. Padmanabhan
Journal of Modern Applied Statistical Methods
When data are nonnormal in form classical procedures for assessing treatment group equality are prone to distortions in rates of Type I error and power to detect effects. Replacing the usual means with trimmed means reduces rates of Type I error and increases sensitivity to detect effects. If data are skewed, say to the right, then it has been postulated that asymmetric trimming, to the right, should be better at controlling rates of Type I error and power to detect effects than symmetric trimming from both tails of the data distribution. Keselman, Wilcox, Othman and Fradette (2002) found that Babu, …
Trimming, Transforming Statistics, And Bootstrapping: Circumventing The Biasing Effects Of Heterescedasticity And Nonnormality, H. J. Keselman, Rand R. Wilcox, Abdul R. Othman, Katherine Fradette
Trimming, Transforming Statistics, And Bootstrapping: Circumventing The Biasing Effects Of Heterescedasticity And Nonnormality, H. J. Keselman, Rand R. Wilcox, Abdul R. Othman, Katherine Fradette
Journal of Modern Applied Statistical Methods
Researchers can adopt different measures of central tendency and test statistics to examine the effect of a treatment variable across groups (e.g., means, trimmed means, M-estimators, & medians. Recently developed statistics are compared with respect to their ability to control Type I errors when data were nonnormal, heterogeneous, and the design was unbalanced: (1) a preliminary test for symmetry which determines whether data should be trimmed symmetrically or asymmetrically, (2) two different transformations to eliminate skewness, (3) the accuracy of assessing statistical significance with a bootstrap methodology was examined, and (4) statistics that use a robust measure of the typical …
The Statistical Modeling Of The Fertility Of Chinese Women, Dudley L. Poston Jr.
The Statistical Modeling Of The Fertility Of Chinese Women, Dudley L. Poston Jr.
Journal of Modern Applied Statistical Methods
This article is concerned with the statistical modeling of children ever born (CEB) fertility data. It is shown that in a low fertility population, such as China, the use of linear regression approaches to model CEB is statistically inappropriate because the distribution of the CEB variable is often heavily skewed with a long right tail. For five sub-groups of Chinese women, their fertility is modeled using Poisson, negative binomial, and ordinary least squares (OLS) regression models. It is shown that in almost all instances there would have been major errors of statistical inference had the interpretations of the results been …
Robust Estimation Of Multivariate Failure Data With Time-Modulated Frailty, Pingfu Fu, J. Sunil Rao, Jiming Jiang
Robust Estimation Of Multivariate Failure Data With Time-Modulated Frailty, Pingfu Fu, J. Sunil Rao, Jiming Jiang
Journal of Modern Applied Statistical Methods
A time-modulated frailty model is proposed for analyzing multivariate failure data. The effect of frailties, which may not be constant over time, is discussed. We assume a parametric model for the baseline hazard, but avoid the parametric assumption for the frailty distribution. The well-known connection between survival times and Poisson regression model is used. The parameters of interest are estimated by generalized estimating equations (GEE) or by penalized GEE. Simulation studies show that the procedure is successful to detect the effect of time-modulated frailty. The method is also applied to a placebo controlled randomized clinical trial of gamma interferon, a …
Double Median Ranked Set Sample: Comparing To Other Double Ranked Samples For Mean And Ratio Estimators, Hani M. Samawi, Eman M. Tawalbeh
Double Median Ranked Set Sample: Comparing To Other Double Ranked Samples For Mean And Ratio Estimators, Hani M. Samawi, Eman M. Tawalbeh
Journal of Modern Applied Statistical Methods
Double median ranked set sample (DMRSS) and its properties for estimating the population mean, when the underlying distribution is assumed to be symmetric about its mean, are introduced. Also, the performance of DMRSS with respect to other ranked set samples and double ranked set samples, for estimating the population mean and ratio, is considered. Real data that consist of heights and diameters of 399 trees are used to illustrate the procedure. The analysis and simulation indicate that using DMRSS for estimating the population mean is more efficient than using the other ranked samples and double ranked samples schemes except in …
On The Misuse Of Confidence Intervals For Two Means In Testing For The Significance Of The Difference Between The Means, George W. Ryan, Steven D. Leadbetter
On The Misuse Of Confidence Intervals For Two Means In Testing For The Significance Of The Difference Between The Means, George W. Ryan, Steven D. Leadbetter
Journal of Modern Applied Statistical Methods
Comparing individual confidence intervals of two population means is an incorrect procedure for determining the statistical significance of the difference between the means. We show conditions where confidence intervals for the means from two independent samples overlap and the difference between the means is in fact significant.
Fermat, Schubert, Einstein, And Behrens-Fisher: The Probable Difference Between Two Means When Σ_1^2≠Σ_2^2, Shlomo S. Sawilowsky
Fermat, Schubert, Einstein, And Behrens-Fisher: The Probable Difference Between Two Means When Σ_1^2≠Σ_2^2, Shlomo S. Sawilowsky
Journal of Modern Applied Statistical Methods
The history of the Behrens-Fisher problem and some approximate solutions are reviewed. In outlining relevant statistical hypotheses on the probable difference between two means, the importance of the Behrens- Fisher problem from a theoretical perspective is acknowledged, but it is concluded that this problem is irrelevant for applied research in psychology, education, and related disciplines. The focus is better placed on “shift in location” and, more importantly, “shift in location and change in scale” treatment alternatives.
Best Regression Model Using Information Criteria, Phill Gagné, C. Mitchell Dayton
Best Regression Model Using Information Criteria, Phill Gagné, C. Mitchell Dayton
Journal of Modern Applied Statistical Methods
The accuracy of AIC and BIC is evaluated under simulated multiple regression conditions, varying number of total and valid predictors, R2, and n. AIC and BIC were increasingly accurate as n increased and as total predictors decreased. Interactions of the ratio of valid/total predictors affected accuracy.
Rhetorical Pedagogy As A Postal System: Circulating Subjects Through Michael Warner's "Publics And Counter-Publics", Ronald W. Greene
Rhetorical Pedagogy As A Postal System: Circulating Subjects Through Michael Warner's "Publics And Counter-Publics", Ronald W. Greene
Ronald Walter Greene
No abstract provided.
Observations On The Aboriginal Remains In Eastern New Jersey: The Notebook Of Charles F. Woolley, 1878-1881, Megan E. Springate
Observations On The Aboriginal Remains In Eastern New Jersey: The Notebook Of Charles F. Woolley, 1878-1881, Megan E. Springate
Megan E. Springate
Charles F. Woolley was a school teacher and avocational archaeologist in New Jersey in the late nineteenth century. One of his notebooks, which survives in a local history repository, includes details of his collection, which was largely prehistoric. Information from the notebook was used to identify site locations, and to track down several artifacts that Woolley had donated. I have removed specific site location information from this publicly available version of the conference paper.
Monitoring Pv In Corn And Soybean Oils By Nir Spectroscopy, Gülgün (Yildiz) Tiryaki
Monitoring Pv In Corn And Soybean Oils By Nir Spectroscopy, Gülgün (Yildiz) Tiryaki
Dr. Gülgün YILDIZ TIRYAKI
Gülgün Yildiz a, b, Randy L. Wehling*,a, and Susan L. Cuppett a a: Department of Food Science and Technology, University of Nebraska, Lincoln, Nebraska 68583-0919, and b: Olive Culture Research Institute, Universite Cd. No. 43, Bornova/Izmir, Turkey 3500. NIR spectroscopy was used successfully in our laboratory to monitor oxidation levels in vegetable oils. Calibration models were developed to measure PV in both soy and corn oils, using partial least squares (PLS) regression and forward stepwise multiple linear regression, from NIR transmission spectra. PV can be measured successfully in both corn and soy oils using a single calibration. The most successful …
Reflections Of An American Geographer On The Anniversary Of September 11th, William G. Moseley
Reflections Of An American Geographer On The Anniversary Of September 11th, William G. Moseley
William G Moseley
No abstract provided.
Electronic Journal Use: A Glimpse Into The Future With Information From The Past And Present, Carol Tenopir, Donald W. King
Electronic Journal Use: A Glimpse Into The Future With Information From The Past And Present, Carol Tenopir, Donald W. King
Carol Tenopir
No abstract provided.
The Impact Of A Large Wage Increase On The Workforce Stability Of Ihss Home Care Workers In San Francisco County, Candace Howes
The Impact Of A Large Wage Increase On The Workforce Stability Of Ihss Home Care Workers In San Francisco County, Candace Howes
Economics Faculty Publications
This study is one of the very few large-scale empirical investigations of the effect of wages on labor market outcomes in any direct care industry, and possibly the only such study specifically addressing conditions in the homecare industry. It records the impact of the nearly doubling of wages for IHSS homecare workers in San Francisco County over a 52 month period. The project is based on a unique database, which matches approximately 18,000 San Francisco County homecare workers in 26,115 unique matches to 15,500 service recipients between November 1997 and February 2002.