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Counting : Inclusive/exclusive counting are two different methods of counting. For exclusive counting, unit intervals are counted at the end of each interval. For inclusive counting, unit intervals are counted beginning with the start of the first interval and ending with end of the last interval. This results in a cou... |
Counting : Learning to count is an important educational/developmental milestone in most cultures of the world. Learning to count is a child's very first step into mathematics, and constitutes the most fundamental idea of that discipline. However, some cultures in Amazonia and the Australian Outback do not count, and t... |
Counting : In mathematics, the essence of counting a set and finding a result n, is that it establishes a one-to-one correspondence (or bijection) of the subject set with the subset of positive integers . A fundamental fact, which can be proved by mathematical induction, is that no bijection can exist between and unl... |
Counting : == References == |
E-values : In statistical hypothesis testing, e-values quantify the evidence in the data against a null hypothesis (e.g., "the coin is fair", or, in a medical context, "this new treatment has no effect"). They serve as a more robust alternative to p-values, addressing some shortcomings of the latter. In contrast to p-v... |
E-values : Let the null hypothesis H 0 be given as a set of distributions for data Y . Usually Y = ( X 1 , … , X τ ) ,\ldots ,X_) with each X i a single outcome and τ a fixed sample size or some stopping time. We shall refer to such Y , which represent the full sequence of outcomes of a statistical experiment, as ... |
E-values : E-values are more suitable than p-value when one expects follow-up tests involving the same null hypothesis with different data or experimental set-ups. This includes, for example, combining individual results in a meta-analysis. The advantage of e-values in this setting is that they allow for optional conti... |
E-values : If we set E := 1 independently of the data we get a trivial e-value: it is an e-variable by definition, but it will never allow us to reject the null hypothesis. This example shows that some e-variables may be better than others, in a sense to be defined below. Intuitively, a good e-variable is one that ten... |
E-values : Historically, e-values implicitly appear as building blocks of nonnegative supermartingales in the pioneering work on anytime-valid confidence methods by well-known mathematician Herbert Robbins and some of his students. The first time e-values (or something very much like them) are treated as a quantity of ... |
Indigenous statistics : Indigenous statistics is a quantitative research method specific to Indigenous people. It can be better understood as an Indigenous quantitative methodology. Indigenous quantitative methodologies include practices, processes, and research that are done through an Indigenous lens. The purpose of ... |
Indigenous statistics : Open data is making statistics available to the public. The data should be easily accessible, and this is often done through a web portal. Scholars have criticized the way open data is collected today. For instance, some have said that open data is not politically or economically benign. Others ... |
Indigenous statistics : Indigenous statistics is a relatively new concept, recently gaining attraction in the research world. It aims to decolonize the data and provide fair statistics to Indigenous communities. Indigenous statistics critique the production of open data and conclusions being drawn from open data statis... |
Realization (probability) : In probability and statistics, a realization, observation, or observed value, of a random variable is the value that is actually observed (what actually happened). The random variable itself is the process dictating how the observation comes about. Statistical quantities computed from realiz... |
Realization (probability) : In more formal probability theory, a random variable is a function X defined from a sample space Ω to a measurable space called the state space. If an element in Ω is mapped to an element in state space by X, then that element in state space is a realization. Elements of the sample space can... |
Realization (probability) : Errors and residuals Outcome (probability) Random variate Raw data |
Comparison of statistical packages : The following tables compare general and technical information for many statistical analysis software packages. |
Comparison of statistical packages : Support for various regression methods. |
Comparison of statistical packages : Support for various time series analysis methods. |
Comparison of statistical packages : Support for various statistical charts and diagrams. |
Comparison of statistical packages : Comparison of computer algebra systems Comparison of deep learning software Comparison of numerical-analysis software Comparison of survey software Comparison of Gaussian process software List of scientific journals in statistics List of statistical packages |
Comparison of statistical packages : McCullough, B. D. (1999). "Econometric software reliability: EViews, LIMDEP, Shazam, and TSP". Journal of Applied Econometrics. 14 (2): 191–202. doi:10.1002/(SICI)1099-1255(199903/04)14:2<191::AID-JAE524>3.0.CO;2-K. McCullough, B. D.; Vinod, H. D. (1999). "The Numerical Reliability ... |
List of information graphics software : This is a list of software to create any kind of information graphics: either includes the ability to create one or more infographics from a provided data set either it is provided specifically for information visualization |
List of information graphics software : Vector graphics software can be used for manual graphing or for editing the output of another program; see: Category:Vector graphics editors Comparison of vector graphics editors A few online editors using vector graphics for specific needs have been created. This kind of creativ... |
List of information graphics software : Category:Diagramming software Comparison of numerical-analysis software List of graphical methods PGF/TikZ – Graphics languages == References == |
List of statistical software : The following is a list of statistical software. Anova analysis |
List of statistical software : ADaMSoft – a generalized statistical software with data mining algorithms and methods for data management ADMB – a software suite for non-linear statistical modeling based on C++ which uses automatic differentiation Chronux – for neurobiological time series data DAP – free replacement for... |
List of statistical software : CSPro (core is public domain but without publicly available source code; the web UI has been open sourced under Apache version 2 and the help system under GPL version 3) Dataplot (NIST) X-13ARIMA-SEATS (public domain in the United States only; outside of the United States is under US gove... |
List of statistical software : BV4.1 GeoDA MINUIT WinBUGS – Bayesian analysis using Markov chain Monte Carlo methods Winpepi – package of statistical programs for epidemiologists |
List of statistical software : Alteryx – analytics platform with drag and drop statistical models; R and Python integration Analytica – visual analytics and statistics package Angoss – products KnowledgeSEEKER and KnowledgeSTUDIO incorporate several data mining algorithms ASReml – for restricted maximum likelihood anal... |
List of statistical software : Comparison of statistical packages Free statistical software List of computer algebra systems List of information graphics software List of numerical libraries List of numerical-analysis software Mathematical software Psychometric software == References == |
ASReml : ASReml is a statistical software package for fitting linear mixed models using restricted maximum likelihood, a technique commonly used in plant and animal breeding and quantitative genetics as well as other fields. It is notable for its ability to fit very large and complex data sets efficiently, due to its u... |
ASReml : ASReml home page ASReml "Cook book" Review at Scientific Computing World |
BLUPF90 : The BLUPF90 family of programs is a statistical software package used in quantitative genetics for animal and plant breeding. It can fit mixed models using restricted maximum likelihood as well as Gibbs sampling to estimate variance components, and predict breeding values via best linear unbiased prediction (... |
BLUPF90 : BLUPF90 home page |
BMDP : BMDP was a statistical package developed in 1965 by Wilfrid Dixon at the University of California, Los Angeles. The acronym stands for Bio-Medical Data Package, the word package was added by Dixon as the software consisted of a series of programs (subroutines) which performed different parametric and nonparametr... |
BMDP : "BMDP history on Statsols (Statistical Solutions) About Us Page". Retrieved 2018-05-04. Article on the Free Online Dictionary of Computing |
BugsXLA : BugsXLA is a Microsoft Excel add-in that provides a graphical user interface for WinBUGS, OpenBUGS and JAGS, developed by Phil Woodward. BugsXLA allows a wide range of Bayesian models to be fitted to data stored in Excel using model statements similar to those used in R, SAS or Genstat. It has been used to an... |
BugsXLA : BugsXLA page BugsXLA YouTube |
Comparison of Gaussian process software : This is a comparison of statistical analysis software that allows doing inference with Gaussian processes often using approximations. This article is written from the point of view of Bayesian statistics, which may use a terminology different from the one commonly used in krigi... |
Comparison of Gaussian process software : This section details the meaning of the columns in the table below. |
Comparison of Gaussian process software : [1] The website hosting C. E. Rasmussen's book Gaussian processes for machine learning; contains a (partially outdated) list of software. |
CumFreq : In statistics and data analysis the application software CumFreq is a tool for cumulative frequency analysis of a single variable and for probability distribution fitting. Originally the method was developed for the analysis of hydrological measurements of spatially varying magnitudes (e.g. hydraulic conducti... |
CumFreq : CumFreq uses the plotting position approach to estimate the cumulative frequency of each of the observed magnitudes in a data series of the variable. The computer program allows determination of the best fitting probability distribution. Alternatively it provides the user with the option to select the probabi... |
CumFreq : The program can produce generalizations of the normal, logistic, and other distributions by transforming the data using an exponent that is optimized to obtain the best fit. This feature is not common in other distribution-fitting software which normally include only a logarithmic transformation of data obtai... |
CumFreq : Skew distributions can be mirrored by distribution inversion (see survival function, or complementary distribution function) to change the skewness from positive to negative and vice versa. This amplifies the number of applicable distributions and increases the chance of finding a better fit. CumFreq makes us... |
CumFreq : When negative data are present that are not supported by a probability distribution, the model performs a distribution shift to the positive side while, after fitting, the distribution is shifted back. |
CumFreq : The software employs the binomial distribution to determine the confidence belt of the corresponding cumulative distribution function. The prediction of the return period, which is of interest in time series, is also accompanied by a confidence belt. The construction of confidence belts is not found in most o... |
CumFreq : Cumfreq produces a list of distributions ranked by goodness of fit. |
CumFreq : From the cumulative distribution function (CDF) one can derive a histogram and the probability density function (PDF). |
CumFreq : The software offers the option to use a probability distribution calculator. The cumulative frequency and the return period are give as a function of data value as input. In addition, the confidence intervals are shown. Reversely, the value is presented upon giving the cumulative frequency or the return perio... |
CumFreq : Distribution fitting == References == |
Design–Expert : Design–Expert is a statistical software package from Stat-Ease Inc. that is specifically dedicated to performing design of experiments (DOE). Design–Expert offers comparative tests, screening, characterization, optimization, robust parameter design, mixture designs and combined designs. Design–Expert pr... |
Design–Expert : Stat-Ease released its first version of Design–Expert in 1988. In 1996 the firm released version 5 which was the first version of the software designed for Microsoft Windows. Version 6.0 moved to a full 32-bit architecture and fuller compliance with Windows visual convention and also allowed up to 256 r... |
Design–Expert : Design–Expert offers test matrices for screening up to 50 factors. A power calculator helps establish the number of test runs needed. ANOVA is provided to establish statistical significance. Based on the validated predictive models, a numerical optimizer helps the user determine the ideal values for eac... |
Design–Expert : Whilst Stat-Ease, Inc. is based in Minneapolis, MN, the software is used globally. To assist with distribution, the company partner with a number of external international software resellers and statistical support providers. Alongside running regular online webinars demonstrating the software's functio... |
Design–Expert : Douglas C. Montgomery, “Design and Analysis of Experiments, 8th Edition,” John Wiley & Sons Inc; 8th edition (April 2012, ©2013). Raymond H. Myers, Douglas C. Montgomery, Christine M. Anderson-Cook, “Response Surface Methodology: Process and Product Optimization Using Designed Experiments,” John Wiley &... |
Dplyr : dplyr is an R package whose set of functions are designed to enable dataframe (a spreadsheet-like data structure) manipulation in an intuitive, user-friendly way. It is one of the core packages of the popular tidyverse set of packages in the R programming language. Data analysts typically use dplyr in order to ... |
Dplyr : While dplyr actually includes several dozen functions that enable various forms of data manipulation, the package features five primary verbs or actions: filter(), which is used to extract rows from a dataframe, based on conditions specified by a user; select(), which is used to subset a dataframe by its column... |
Dplyr : In addition to its five main verbs, dplyr also includes several other functions that enable exploration and manipulation of dataframes. Included among these are: count(), which is used to sum the number of unique observations that contain some particular value or categorical attribute; rename(), which enables a... |
Dplyr : The dplyr package comes with five datasets. These are: band_instruments, band_instruments2, band_members, starwars, storms. |
Dplyr : The copyright to dplyr is held by Posit PBC, formerly RStudio PBC. dplyr was originally released under a GPL license, but in 2022, Posit changed the license terms for the package to the "more permissive" MIT License. The main difference between the two types of license is that the MIT license allows subsequent ... |
Easystats : The easystats collection of open source R packages was created in 2019 and primarily includes tools dedicated to the post-processing of statistical models. As of May 2022, the 10 packages composing the easystats ecosystem have been downloaded more than 8 million times, and have been used in more than 1000 s... |
Easystats : In 2019, Dominique Makowski contacted software developer Daniel Lüdecke with the idea to collaborate around a collection of R packages aiming at facilitating data science for users without a statistical or computer science background. The first package of easystats, insight was created in 2019, and was envi... |
Easystats : The easystats ecosystem contains ten semi-independent packages. insight: This package serves as the foundation of the ecosystem as it allows manipulating objects from different R packages. datawizard: This package implements some core data manipulation features. bayestestR: This package provides utilities t... |
Easystats : Tidyverse R (programming language) == References == |
EpiData : EpiData is a group of applications used in combination for creating documented data structures and analysis of quantitative data. |
EpiData : The EpiData Association, which created the software, was created in 1999 and is based in Denmark. EpiData was developed in Pascal and uses open standards such as HTML where possible. EpiData is widely used by organizations and individuals to create and analyze large amounts of data. The World Health Organizat... |
EpiData : Clinical surveillance Disease surveillance Epidemiological methods Control chart |
EpiData : EpiData official site EpiData Wiki EpiData-list Archived 2021-07-19 at the Wayback Machine – mailing list for EpiData World Health Organization STEPS approach to surveillance Médecins Sans Frontières Epicentre |
Fathom: Dynamic Data Software : Fathom Dynamic Data Software is software for learning and teaching statistics, at the high school and introductory college level. |
Fathom: Dynamic Data Software : Technology & Learning Award of Excellence MacWorld 2005 Review EHO Review |
Football Live : Football Live was the name given to the project and computer system created and utilised by PA Sport to collect Real Time Statistics from major English & Scottish Football Matches and distribute to most leading media organisations. At the time of its operation, more than 99% of all football statistics d... |
Football Live : Prior to implementation of Football Live, the collection process consisted of a news reporter or press officer at each club telephoning the Press Association, relaying information on Teams, Goals and Half-Time & Full Time. The basis for Football Live was to have a representative of the Press Association... |
Football Live : The most famous use for the Football Live data was for the Vidiprinter services on BBC & Sky Sports, allowing goals to be viewed on TV screens within 20 seconds of the event happening. |
Football Live : From its inception in 2001/02 season, the following leagues/competitions were fully covered by Football live English Premier League Championship League One League Two Conference Scottish Premier League English FA Cup English Football League Cup World Cup European Championships Champions League Europa Le... |
Football Live : During the early development stages, the initial idea was to employee ex-referees to act as Football Analysts, but this was soon dismissed in favour of ex-professional Footballers. The most famous of which were Brendon Ormsby, Mel Sterland, Jimmy Case, Neil Webb, John Sitton, Imre Varadi, Brian Kilcline... |
Genstat : Genstat (General Statistics) is a statistical software package with data analysis capabilities, particularly in the field of agriculture. It was developed in 1968 by the Rothamsted Research in the United Kingdom and was designed to provide modular design, linear mixed models and graphical functions. It was de... |
Genstat : ASReml: a statistical package which fits linear mixed models to large data sets with complex variance models, using Residual Maximum Likelihood (REML) |
Genstat : Payne, R. W. (2009). "Genstat". Wiley Interdisciplinary Reviews: Computational Statistics. 1 (2): 255–258. doi:10.1002/wics.32. S2CID 247695787. |
Genstat : Genstat homepage. VSN International (VSNi). |
Imputation and Variance Estimation Software : Imputation and Variance Estimation Software (IVEware) is a collection of routines written under various platforms and packaged to perform multiple imputations, variance estimation (or standard error) and, in general, draw inferences from incomplete data. It can also be used... |
Imputation and Variance Estimation Software : Version 0.1 of IVEware was developed in the late 1990s by Trivellore Raghunathan, Peter W. Solenberger, and John Van Hoewyk and released in 1997 as beta software with an official release in 2002 from the Survey Research Center, University of Michigan Institute for Social Re... |
Imputation and Variance Estimation Software : Raghunathan, T.E., Lepkowski, J., Van Hoewyk, J. and Solenberger, P. (2001). A multivariate technique for multiply imputing missing values using a sequence of regression models. Survey Methodology, 27(1): 85-95. Raghunathan, T. E, Berglund, P., and Solenberger, P. W. (2018)... |
Imputation and Variance Estimation Software : IVEware Version 0.3 IVEware Versions 0.1 and 0.2 Survey Research Center |
LISREL : LISREL (linear structural relations) is a proprietary statistical software package used in structural equation modeling (SEM) for manifest and latent variables. It requires a "fairly high level of statistical sophistication". |
LISREL : LISREL was developed in the 1970s by Karl Jöreskog, then a scientist at Educational Testing Service in Princeton, New Jersey, and Dag Sörbom, later both professors of Uppsala University in Sweden. The most current version is LISREL 11 and can be downloaded from https://ssicentral.com/index.php/products/lisrel/... |
LISREL : LISREL is mainly syntax-based, although recent versions have featured a graphical user interface (GUI). SSI (Scientific Software International) has recently changed from e-Academy to a "home-built" solution for distributing the rental (6- or 12-month) versions of their software. |
LISREL : Confirmatory factor analysis Multivariate analysis Path analysis (statistics) Structural equation modeling |
LISREL : Byrne, Barbara M. (1989). A Primer of LISREL: Basic Applications and Programming for Confirmatory Factor Analytic Models. New York: Springer. ISBN 0-387-96972-1. Kelderman, Henk (1987). "LISREL models for inequality constraints in factor and regression analysis". In Cuttance, Peter; Ecob, Russell (eds.). Struc... |
LISREL : Official website |
MedCalc : MedCalc is a statistical software package designed for the biomedical sciences. It has an integrated spreadsheet for data input and can import files in several formats (Excel, SPSS, CSV, ...). MedCalc includes basic parametric and non-parametric statistical procedures and graphs such as descriptive statistics... |
MedCalc : Stephan C, Wesseling S, Schink T, Jung K. “Comparison of eight computer programs for receiver-operating characteristic analysis.” Clinical Chemistry 2003;49:433-439. doi:10.1373/49.3.433 Lukic IK. “MedCalc Version 7.0.0.2. Software Review.” Croatian Medical Journal 2003;44:120-121. Garber C. “MedCalc Software... |
MedCalc : List of statistical packages Comparison of statistical packages |
MedCalc : MedCalc Statistical Software Homepage |
Minitab : Minitab is a statistics package developed at the Pennsylvania State University by researchers Barbara F. Ryan, Thomas A. Ryan, Jr., and Brian L. Joiner in conjunction with Triola Statistics Company in 1972. It began as a light version of OMNITAB, a statistical analysis program by National Institute of Standar... |
Minitab : Minitab Statistical Software is a statistics package developed at the Pennsylvania State University by researchers Barbara F. Ryan, Thomas A. Ryan, Jr., Brian L. Joiner in 1972. The project received funding from the Triola Statistics Company. It began as a light version of OMNITAB, a statistical analysis prog... |
Minitab : Minitab, LLC also produces other software that can be used in conjunction with Minitab; Minitab Connect helps businesses centralize and organize their data, Quality Trainer is an eLearning package that teaches statistical concepts, Minitab Workspace provides project planning and visualization tools, and Minit... |
Minitab : List of statistical packages Comparison of statistical packages |
Minitab : "Minitab Statistical Software Features – Minitab." Software for Statistics, Process Improvement, Six Sigma, Quality – Minitab. N.p., n.d. Web. 11 Apr. 2011. Groebner, David F., Mark L. Berenson, David M. Levine, Timothy C. Krehbiel, and Hang Lau. Applied management statistics. Custom ed. Boston, MA: Pearson C... |
Minitab : Official website |
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