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# Topic: Statistical parameter

###### In the News (Thu 14 Dec 17)

 Statistical parameter - Wikipedia, the free encyclopedia A statistical parameter is a parameter that indexes a family of probability distributions. In other situations, parameters may be fixed by the nature of the sampling procedure used or the kind of statistical procedure being carried out (for example, the number of degrees of freedom in a Pearson's chi-squared test). parameter is to a population as a statistic is to a sample. en.wikipedia.org /wiki/Statistical_parameter   (154 words)

 Sample (statistics) - Wikipedia, the free encyclopedia In statistics, a sample is that part of a population which is actually observed. In normal scientific practice, one demands that it be selected in such a way as to avoid presenting a biased view of the population. If statistical inference is to be used, there must be a way of assigning known probabilities of selection to each sample. en.wikipedia.org /wiki/Statistical_sample   (238 words)

 Statistics and epidemiology   (Site not responding. Last check: 2007-09-30) statistics : a discipline devoted to the collection, analysis, and interpretation of numerical data using the theory of probability, concerned particularly with methods for drawing inferences about characteristics of a population from examination of a random sample. Bayes' theorem is then used to convert the probability distribution of an observable statistic (treated as a conditional probability for a given parameter value) to a conditional probability distribution of the parameter values for a given value of the observable statistic. The values obtained from a statistical sample are used to establish a reference interval that covers 95% of the values of the healthy general population or of specific subpopulations differing in age and sex. focosi.altervista.org /epidemiology.html   (10532 words)

 Synthesis of "Statistical Innovations for Cost-Effectiveness Analysis" (continued)   (Site not responding. Last check: 2007-09-30) By identifying the CER as a statistical parameter, inference on the CER can be initiated within the framework of a sampling design in which costs and benefits are assessed in a sample of patients from two competing interventions. Formalizes statistical inference on net present value, quality-adjusted life years, cost-effectiveness ratio, and net health cost by providing a rigorous basis for their estimation, as well as derivation of their statistical distributions.  This allows for quantifying uncertainty in estimates through standard errors and confidence intervals. Gardiner's statistical method for assessing the cost-effectiveness of the ICD was the first to address construction of statistical confidence intervals for the CER from survival data. www.ahcpr.gov /rice/gardsum2.htm   (3698 words)

 [No title]   (Site not responding. Last check: 2007-09-30) The integral equations for statistical tomography of small-scale irregularities relating some statistical parameter of the scattered wave amplitude with some statistical parameters of the scattering medium is basically similar to the integral equations of ray tomography of large-scale irregularities that relate the measured phase with the values of electron density. However, this is not a serious obstacle for statistical radiotomography since in many cases the behavior of the weighting factor can be well predicted from independent analysis of the data and then allowed for in the subsequent tomographic reconstruction. Specificity of the statistical RT of small-scale irregularities is considered; errors, accuracy and resolution of RT reconstruction are discussed. www.bc.edu /sites/beacon/Kunitsyn1.doc   (241 words)

 SPM'99 - Statistical Parametric Mapping   (Site not responding. Last check: 2007-09-30) The authors are research scientists in the fields of neuroscience, statistics and image processing; for whom SPM is the vehicle for implementation and dissemination of ideas. Rather than removing signal that is correlated to functions of the six parameters describing the rigid body movement of the subject, the adjustment now uses functions that are dependant upon the displacement of each voxel. The functions that are covaried from the data are periodic in terms of the number of voxels displaced, and are based upon sines and cosines of the number of voxels displaced. www.fil.ion.ucl.ac.uk /spm/spm99.html   (4626 words)

 Statistical Analysis | Parameter ∂ is a parameter value, usually unknown (and which has to be estimated), is used to represent a certain population characteristic. Each sample drawn from the population has its own value of any statistic that is used to estimate this parameter. For example, the mean of the data in a sample is used to give information about the overall mean in the population from which that sample was drawn. www.ferris.edu /htmls/colleges/artsands/Biology/ResearchScience/SAParameter.cfm   (145 words)

 Sensitivity based statistical timing analysis patent invention A variation calculator determines a statistical indication of delay variation for the coupled interconnect based on the delay sensitivity and a corresponding statistical parameter. A variation calculator determines a statistical indication of delay variation for the coupled interconnect based on the first delay sensitivity and a first corresponding statistical parameter and based on the second delay sensitivity and a second corresponding statistical parameter. The variation calculator 26 employs the physical parameter sensitivity for each of the aggressors to calculate a victim delay variation (e.g., as a standard deviation) that is attributable to the variations in the physical parameters. www.freshpatents.com /Sensitivity-based-statistical-timing-analysis-dt20060316ptan20060059446.php   (1935 words)

 EETimes.com - How statistical sensitivity makes designs manufacturable A statistical response plot is a plot of all the responses encountered during the statistical simulation. A statistical response plot displays the type of measurement variations that are possible, due to the statistical variations given to the unit's parameters. The parameter value being graphed is not thought of as a statistical variable, but all other parameters are allowed to vary according to their assigned statistical distributions. www.eetimes.com /news/design/features/showArticle.jhtml?articleID=55300902   (2601 words)

 Ken's Research Statistical accuracy in this sense refers to obtaining confidence intervals that are sufficiently narrow. Depending on the specific question of interest, planning research so that a specified level of statistical power is realized may not address the research question of interest. If a generalized nonlinear structural equation model (i.e., an SEM model nonlinear in its parameters, not one that simply includes interactions and polynomial powers of the variables) can be developed and implemented, many interesting questions could be addressed and stronger hypotheses than currently implementable could be testable. www.indiana.edu /~kenkel/research.shtml   (842 words)

 Refereed Journal Articles Published Two-stage and sequential procedures for estimating the location parameter of a negative exponential distribution. Improved sequential and accelerated sequential procedures for estimating the scale parameter in a uniform distribution. Annals of Institute of Statistical Mathematics (1995), 47, 99-104 (with A. Bose). merlot.stat.uconn.edu /~nitis/Research/Publications/Articles/articles.htm   (2243 words)

 Applied Statistics Courses Offered at UCLA In our statistical consulting we often find that researchers are not aware of the fantastic array of applied statistics courses that are offered around the UCLA campus. Introduction to parameter and interval estimation, simple and multiple linear regression and correlation, fixed, random, and mixed effects analysis of variance models and nonparametric statistics, all as they apply to management studies. Survey of advanced statistical methods used in social research, with focus on problems for which classical linear regression model is inappropriate, including categorical data, structural equations, longitudinal data, incomplete and erroneous data, and complex samples. www.ats.ucla.edu /stat/Schedule/UCLAStatcourses.htm   (5017 words)

 AMS Glossary Specifically, an estimate of a statistical parameter computed from a sample. Depending on method and scope, the limitations of statistical forecasts are related to shortness of record, danger of overfitting, assumptions of linearity (often), absence (often) of physical considerations, etc. Purely statistical forecasts in weather forecasting have become rare; however, a combination of dynamical model output and statistics is very common in weather forecasting. Statistics is concerned with collecting and processing data, summarizing information, estimating descriptive constants (parameters), discovering empirical laws, testing hypotheses, and designing experiments in such a way that valid inferences can be drawn from empirical evidence. amsglossary.allenpress.com /glossary/browse?s=s&p=96   (356 words)

 Monte Carlo Oversights Confusing a parameter value with its estimate has an interesting history, and was the cause of a monumental quarrel between two statistical giants, Karl Pearson and R. Fisher. He founded the prestigious statistical journal Biometrika (still a major publication), the Pearson correlation coefficient is named after him, he developed a system of probability density curves also named after him, and he invented the Chi-square test of statistical significance. Fisher (1890-1962) wrote the first book on Design of Experiments, revolutionized statistics with the concept of likelihood and estimating parameters by maximizing their likelihood, and told Pearson that he misunderstood his own Chi-square test, and was therefore calculating probability of failure incorrectly by using the sample means as though they were the population means. www.statisticalengineering.com /Monte_Carlo_Oversights.htm   (1309 words)

 MCSim User' Manual: Finally, if a parameter is defined several times, only the first definition is taken into account (a warning is issued, but beware of it). Statistical models that you setup for model calibration and data analysis are defined in the simulation input files, through statistical distribution functions. This implies that parameters needed to set up a statistical model must be declared in the model definition file, even if the structural model does not use them. fredomatic.free.fr /mcsim.html   (10415 words)

 Description: Amoebas, Tropical Geometry, and Statistical Models   (Site not responding. Last check: 2007-09-30) The first article focuses on basic theory, exploring the tropical geometry of statistical models, as the article title suggests. The authors explore links between the geometry of tropicalized statistical models, parameter spaces, model complexity, model equivalence and identification, and parameter estimation. Although the article focuses on statistical biological sequence analysis, it also discusses applications of their theoretical developments to more general problems. blog.lib.umn.edu /mark0060/blog/011027.html   (307 words)

 [No title]   (Site not responding. Last check: 2007-09-30) The amount of penalty is a smoothing parameter which can be controlled by the modeler, to produce flatter and smoother profiles at one extreme or unflattened but jagged and unstable profiles at the other extreme. The value of the smoothing parameter used to produce the contour plots in the pilot study was somewhat arbitrary, based on the statistician's judgment of the value that produced a reasonable estimate of the pattern of uplift. Statistical analysis of low-order stream networks has much potential for further application in the New Madrid region, and is particularly auspicious for reasons related to data availability, cost, scientific importance, and global potential. www.geophys.washington.edu /NEHRP/Reports/FINAL/g2624fnl.htm   (7865 words)

 Application of statistical parameter estimation methods to physical measurements Statistical methods for estimation of physical parameters from observations are discussed. Different from conventional deterministic methods, statistical methods for measurement of parameters use a mathematical model of the observations that includes statistical errors. In the first place statistical models of the observations offer the possibility to analyse statistically the precision and systematic error of parameter measurement methods. stacks.iop.org /0022-3735/10/753   (227 words)

 [No title]   (Site not responding. Last check: 2007-09-30) A measurable characteristic about a sample is a parameter a population parameter a population statistic a representative sample a sample parameter a sample statistic a simple random sample a statistical parameter none of the above 3. The Statistical Abstract of the USA reported the following reasons why people lost their jobs: Job abolished 25% Company closed/moved 50% Not enough work 25% What is the best descriptive diagram to illustrate the proportion of the whole that lost their jobs for each of the categories given? The number 53% is an example of : sample parameter sample statistic population parameter sampling error population statistic 10. www-unix.oit.umass.edu /~rese212c/documents/quiz1heath.doc   (465 words)

 Search Statistics in Result Report This is an example of the statistical details that are appended to a Sequence Explore Result (in this case, a BLASTn result). A statistical parameter used in calculating BLAST® scores that can be thought of as a natural scale for scoring system. A statistical parameter used in calculating BLAST® scores that can be thought of as a natural scale for search space size. www.cas.org /express/help/601/blast/topics/srch_sta.htm   (438 words)

 School of Industrial and Systems Engineering ::School of Industrial and Systems Engineering - Jeff Wu On the effect of two-stage sampling on the F statistic. Parameter design for signal-response system: a different look at Taguchi’s dynamic parameter design. PIDEX: A statistical approach for screening differentially expressed genes using microarray analysis. www2.isye.gatech.edu /~jeffwu/publications   (1643 words)

 Standard Deviation, Variance, Volatility, Statistical, Binomial The standard deviation (statistics) is not calculated directly using a formula or equation. The standard deviation is viewed as: - a probability parameter of binomial events (compared to the expected value); - a statistical parameter of a numerical series (compared to the mean). The statistical standard deviation is calculated as the square root of the variance; the variance is the average of the differences from the mean of the series. www.saliu.com /standard_deviation.html   (3126 words)

 Standard Deviation, Median, Variance, Calculate The standard deviation is viewed as: 1) a statistical parameter of a numerical series; 2) a probability parameter of binomial events. 1) The statistical standard deviation is calculated as the square root of the variance; the variance is the average of the differences from the mean of the series. The standard deviation is viewed as: a statistical parameter of a numerical series; a probability parameter of binomial events. www.saliu.com /bbs/messages/329.html   (1627 words)

 Data Pilot - Statistical methods The advantage of this method is that instead of one statistical parameter value it allows to get sample distribution for this parameter. When we get many values for this parameter, we build a distribution curve for it in order to estimate its significance. If we get the values of correlation coefficients that are just as high as with the original data — then there is no correlation between the variables. www.colorpilot.com /datapilot_methods.html   (590 words)

 Nand Kishor   (Site not responding. Last check: 2007-09-30) In two simulation studies we compared the accuracy and bias of parameter estimates from a multiple linear regression model after treating nonresponses with four methods: mean substitution, pairwise omission, imputation via linear regression, and imputation via expectation-maximization method. When item nonresponse is random, the problem may be ignorable because the statistical parameter estimates tend not to be seriously affected (Little and Rubin, 1987). The parameter estimates from the simulation program were congruent to six decimal places with the same estimates obtained from BMDP. www.jpsm.umd.edu /icsn/papers/Kishor.htm   (6378 words)

 A Novel Methodology for Statistical Parameter Extraction   (Site not responding. Last check: 2007-09-30) IC manufacturing process variations are typically expressed in terms of joint probability density function (jpdf's) or as worst case combinations/corners of the device model parameters. However, since device models can only provide approximations to actual device behavior, the difference between the two being the modeling error, only a part of the measured variation in device behavior can be modeled using device model parameter variations and the remaining appears as modeling error variation. In this paper, we present a novel statistical parameter extraction methodology that accounts for the effect of modeling error on device model parameter statistics and can be used to quantify the statistical suitability of conventional MOS device models. csdl.computer.org /comp/proceedings/iccad/1995/7213/00/72130696abs.htm   (178 words)

 LAB719 - Using Histograms II Statistical parameters, included with this option, extend the analysis capability, offering accurate readouts of up to 18 key statistical measurements such as mean, standard deviation, range, and many others. The statistical parameters average (avg[C]) and range (range[C]), listed in the parameter readout field below the display, provide a quantitative measure of the histogram. The average value (mean) has shifted from 41.448 ns to 40.417 ns as indicated in the statistical parameter readings. www.lecroy.com /tm/library/LABs/LAB719   (680 words)

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