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Context:
In a previous question, @Robbie asked in a study with around 600 cases why tests of normality suggested significant non-normality yet the plots suggested normal distributions. Several people made the point that significance tests of normality are not very useful. With small samples, such tests don't have much ... |
I am doing a study with one variable with continuous data; the measurement involves measurements done by three people. I wish to do an inter-rater reliability test, e.g. with Bland-Altman analysis, but cannot find information about how it works with multiple measures. Would some other test be better?
Sample data
Rater... |
I'm doing program evaluation. I want to use the finite mixture model to test the hypothesis that different types of firms may exist. This is an endogenous determination of the number of different types that may exist. However, this is done only at one point in time. I have data across several years in which firm en... |
Possible Duplicate:
How to interpret confidence interval of the difference in means in one sample T-test?
The prevalence of obesity in children to mothers who smoked throughout pregnancy was 6.2% with 95% CI 4.5%-8.3%. I wonder how to interpret this CI.
|
I performed with R an ANOVA and I got significant differences. However when checking which pairs were significantly different using the Tukey's procedure
I did not get any of them.
How can this be possible?
Here is the code:
fit5_snow<- lm(Response ~ Stimulus, data=audio_snow)
anova(fit5_snow)
> anova(fit5_snow)
Analy... |
When I run this code (R 2.13.2, caret 4.98 on windows 7):
library(caret)
data(iris)
TrainData <- iris[,1:4]
TrainClasses <- iris[,5]
rfFit <- train(TrainData, TrainClasses,
method = "rf",
tuneLength = 3,
trControl = trainControl(method = "oob"))
I get the following er... |
I have pairs (x, y) which I would like to regress (x independent, y dependent). Plotting them, I see distinct bands which can be attributed to a third variable. Unfortunately this variable cannot be directly measured.
Is there a good way to both fit the data to an equation and determine the value of the binary variab... |
Assume I have a set of independent, identically distributed univariate observations $x$ and two hypotheses about how $x$ was generated:
$H_0$: $x$ is drawn from a single Gaussian distribution with unknown mean and variance.
$H_A$: $x$ is drawn from a mixture of two Gaussians with unknown mean, variance and mixing coe... |
I am looking at the text, A Practitioner's Guide to Resampling for Data Analysis, Data Mining, and Modeling, by Phillip Good (Amazon).
I would like to see if anyone has read this book (or seen a review) and can offer objective advice on it (rating and level of material).
(I have a suspicion this question - being su... |
I need to use Breusch-Pagan test, to check whether two series are homoscedastic.
First I calculate the residuals of two lists of prices after [...] and then I test residuals for homoscedasticity. My doubt is, does it make sense to regress the residuals with a rep(0, N) line?
I thought of it because the residuals shoul... |
How do we define an estimator for data coming from a binomial distribution? For bernoulli I can think of an estimator estimating a parameter p, but for binomial I can't see what parameters to estimate when we have n characterizing the distribution?
Update:
By an estimator I mean a function of the observed data. An esti... |
A colleague of mine with little statistics experience is trying to perform an experimental evaluation of a computer program. He created a between subjects design and solicited test subjects.
11 people were given his "new and improved" computer program to use. 10 others got the "old and boring" computer program to use, ... |
I understand the logic of coding for data analysis. My question below is on the use of a specific code.
Is there a reason why gender is often coded as 0 for female and 1 for male?
Why is this coding considered 'standard'?
Compare this with Female = 1 and Male = 2. Is there a problem with this coding?
|
I am testing the reliability of my formative measurement model and I am using Variance Inflation Factor (VIF) and Condition Index (CI) (see this earlier question asking whether to and how to do this). I am using SPSS.
All my scores for VIF are less than 5.00 and all except one for CI is less than 10.00 (i.e. it is 22.... |
What are good online or offline resources that give an overview of the history of statistics and the main breakthrough in statistics until now?
I have read the page on History of Statistics on Wikipedia.
|
Context:
In this previous question @adhesh asked about the benefits of coding a binary variable zero-one rather than one-two.
I realised when I wrote this answer that I had quite a lot to say about the topic of coding and scaling variables in order to maximise interpretation of regression coefficients.
Over the while ... |
I have been trying to use weighted regression on some data where there are three categorical variables with the
lm(y ~ A*B*C)
command in R.
This was to try and deal with the problem that my residual plot does not have constant variance, and that for one of the factors the variance for two of the levels is much smal... |
Whenever we do some experiment in Physics, e.g. measure Planck's constant, we take the mean of several experimental observations. This seems to be the most obvious way to report a result.
Is there a reasoning based on MLE or other statistics concepts that can be used to justify that the mean is the best way to measure ... |
Background:
There are often some values among sampling set that appear not closely compatible with the rest. They would be called as extreme values or simply outliers. Dealing with outliers has been always a matter of challenge. There are some approaches to solve the problem of the existence of outliers:
moving them... |
I've come across a very good text on Bayes/MCMC. IT suggests that a standardisation of your independent variables will make an MCMC (Metropolis) algorithm more efficient, but also that it may reduce (multi)collinearity. Can that be true? Is this something I should be doing as standard.(Sorry).
Kruschke 2011, Doing Baye... |
Given two classes of training data (A and B), I want to fit each class' distribution using a GMM with k components, and then use Bayes Decision Model for the classification.
The first step was to use PCA on data set A, project the data into
a lower-dimensional subspace, and then for each class do the actually fittin... |
I'm currently writing a .NET library to handle various statistical/classification tasks and I am currently writing the structures to represent nominal and ordinal data.
In doing so, I've been debating whether or not the structures that handle ordinal data should derive from the structures that handle nominal data.
My t... |
I have a situation where I measure something for a long time, and occasionally a seperate event of interest will occur. I want to determine if these events have a significant effect on the signal I am measuring. So I am thinking of taking the signal value at each event time, and comparing it to times when there was no ... |
I'm currently working on my thesis where I performed a multiple linear regression. The analysis is basically about the impact of projects. Among other independent variables I have the dummy variable team composition which is divided into functional(0) and cross-functional(1).
Independent Variable ... |
I have 4k observations on individuals distributed across 10 ordinal categories of socio-economic position (1 being worst, 10 - best).
What kind of statistical test could I use in Stata to judge if there is a trend across these ten ordinal categories when it comes to:
Continuous variable (income)?
Ordinal categorical v... |
I have a latin square with a particular treatment; I have done a contrast so I have a value for the mean of the contrast $$\hat \theta_1 = \mu_1-\frac{1} {3}(u_2+u_3+u_4) \>.$$
I also have a response error from the whole sample $\sigma^2$.
I have the variance of the contrast mean $$\mathrm{Var}(\hat \theta_1) \>,$$
th... |
Consider the following distribution belonging to the exponential family.
$p_{\theta}(x) = \theta e^{-\theta x} $
The MLE estimating the $\theta$ parameter is
$\newcommand{\thetaMLE}{\hat{\theta}_{\mathrm{MLE}}}\thetaMLE = 1/\bar{X}$
where $\bar{X}$ is the sample mean.
How do we find the bias of this estimator?
$\mathrm... |
I'm using CUSUM to check structural breaks. The plot you see below pass the CUSUM test. How is that possible?
> cs <- sctest(pair.res ~ 1)
> cs
Recursive CUSUM test
data: pair.res ~ 1
S = 0.9448, p-value = 0.05118
|
I know there won't be a clear answer to that question but I'm really curious to know your opinion on that matter. I deal with reaction times, and finding a good measure of central tendency is difficult due to the ex-gaussian shape and the outliers. Beyond the mean and median, I discovered recently the trimmed mean and ... |
I recently learned about the median polish method as a robust alternative to ANOVA for the purposes of fitting models to data. But, is there a way to test hypotheses using median polish, such as a particular row median is equal to zero, or one column median is greater than another column median?
Thanks.
|
Having a 2D map filled uniformly by random values (Figure:top-left), the next maps are kernel averaged with a kernel of sizes 3x3, 5x5, ..., 11x11.
The questions are:
What are the patterns appeared in the kernel averaged maps?
What is the statistical basis of creation of such clusters/pattern?
How is the pattern relate... |
I'm working with a 'weighted' adjacency matrix to a graph. It represents connections or relationships between entities. Since it's weighted it has different values, 0 being no relationship and goes up adding connection between the entities.
I've been thinking about how to make a new dataset, similar to this one but onl... |
log(sales) = beta_0 + beta_1 * GDP
The usual process of transforming a variable such as price into log(price) to measure an approximate percentage change means that if you include an independent variable in your regression that is measured in units (e.g. GDP $) then you interpret it as:
A one unit increase in GDP inc... |
My problem is how to measure the effect of a user's participation in forums. I calculate the user's participation as the number of discussions that user posted. My hypothesis that a users' participations are not independent of each other and that the users' participations depends on the group, that is a user's behaviou... |
I am searching for [free] software that can produce nice looking graphical models, e.g.
Any suggestions would be appreciated.
|
I am trying to implement a Watson Nadaraya classifier. There is one thing I didn't understand from the equation:
$${F}(x)=\frac{\sum_{i=1}^n K_h(x-X_i) Y_i}{\sum_{i=1}^nK_h(x-X_i)}$$
What should I use for the kernel K?
I have a 2-dimensional dataset which has 1000 samples (each sample is like this: [-0.10984628, 5.53... |
I have a very lengthy but poorly designed questionnaire, which has a very large number of questions. The questionnaire really needs to be completely rewritten, but prior to that being done, there is an organisational need to use it again in the short term.
Given the length of the questionnaire, it would be helpful to ... |
I have developed a formative model which tests the relationship between two composites.
Obviously, I have to ascetain the validity of this model.
I am told that Confirmatory Factor Analysis (CFA) is the way to go on it.
How do I perform CPA in SPSS?
How do I interpret the results?
|
I wonder if there is always a maximizer for any maximum (log-)likelihood estimation problem? In other words, is there some distribution and some of its parameters, for which the MLE problem does not have a maximizer?
My question comes from a claim of an engineer that the cost function (likelihood or log-likelihood, I a... |
I have something that seems to me an incongruence in ANOVA post hoc tests, and I would like to have an explanation. Basically I performed an ANOVA at the global level on my data and then I performed a post hoc test using both LSD and Tukey's HSD procedure.
First I did the ANOVA on the whole data set and post hoc tests ... |
In my logistic regression analysis, my dichotomous predictor variable 'A' gave a strange p value of 1.00 under Wald's test. The analysis was done with 2 continuous covariates, a continuous predictor variable and an interaction variable consisting of the continuous predictor and the dichotomous predictor. The DV is a di... |
My experiment entails comparing a mock-infected group with a virus-infected group across 4 different time points (3,5,8,10 weeks) looking at the proportion of immune cells.
I have already compared the mock and virus infected groups at each time point by using an unpaired t-test.
How can I compare the mock values over ... |
I'm reading the example of the book: "S-PLUS (and R) Manual to Accompany Agresti’s Categorical Data Analysis (2002) 2nd edition " (page 55) and when I try to reproduce the example I get this:
snoring<-c(0,2,4,5)
logit.irls<-glm(cbind(yes=c(24,35,21,30), no=c(1355,603,192,224))~snoring,
family=binomial(link=logit))
... |
I have two matrices which each represent the distribution of a different variable on the same spatial domain (something like the distribution of cows on a field on one day versus the distribution of horses on the same field on a different day), and I'd like to check whether these matrices are correlated. I've been sear... |
I have a sort of philosophical question about when multiple comparison correction is necessary.
I am measuring a continuous time varying signal (at discrete time points). Separate events take place from time to time and I would like to establish if these events have a significant effect on the measured signal.
So I can... |
Figure A demonstrates a point process (object=rectangle) with marks as the length and width of the rectangle. Figure B shows a realization of the point process regarding the information extracted from the input data.
The question is:
How to condition (using pre-conditioning or post-conditioning) the realization to the ... |
I have a collection of matrices $A_1,\ldots,A_n$, and I want to do joint Schur decomposition on them (they all have the same unitary matrices in their decomposition). I couldn't find any implementation of this (I was looking for Python, but I would be happy to find anything at the moment). The closest I found was an im... |
I have an ascii dataset which consists of three columns, but only the last two are actual data. Now I want to create a dotchart of the data by using read.csv(file = "result1", sep= " "). R reads all three columns. How do I avoid this?
|
My data look like this.
The variable on the $x$ axis is height in inches. The variable on the $y$ axis is whether someone hovers when urinating at a public toilet. Each of the 103 points is a female university student.
According to a $t$-test, the mean height of hoverers is significantly higher than that of non-hovere... |
Suppose you have observations $f_1, f_2, \ldots, f_n$ which are drawn i.i.d. from a central F distribution, with unknown numerator degrees of freedom, $n_1$ and known denominator degrees of freedom, $n_2$. What is the preferred method for computing/estimating the MLE of $n_1$? If the likelihood is known to be concave ... |
I am working my way (self-study) through E.T. Jaynes' book Probability Theory - The Logic of Science
Original Problem
Exercise 2.1 says: "Is it possible to find a general formula for $p(C|A+B)$ analogous to [the formula $p(A+B|C)=p(A|C)+p(B|C)-p(AB|C)$] from the product and sum rules. If so, derive it; if not, explai... |
I'm needing to validate an inherited testing project correct use of confidence testing.
Direct mail creatives are being evaluated at month end over a 90 day campaign cycle for several unique customer groups (eg.: new, upgraded, lapsed, etc.) Here's a low volume data example for just one customer group (new) for a singl... |
I am very interested in the concepts and discussions taking place here. However, I'm not entirely sure what this field of study is called or what the many branches of study are being discussed here are. It all seems to be related to finding relations and patterns in data so we can use it in a meaningful way.
As a devel... |
I have developed a web application in which I show a picture and two captions. One of those captions is the correct and the other is randomly selected from a corpus of picture captions.
Next, I present the following question: "Which caption best describes the picture?" and the user casts a vote on the caption that he c... |
I guess this is a basic question but I've been looking after a solution for a long time without result.
I'm using lme4 package and I use this code :
library(lme4)
plot(confint(lmList(Reaction ~ Days | Subject, sleepstudy), pooled = FALSE),
order = 1)
to plot confidence intervals for individual coefficients of int... |
I have a dataset with two objectives (runtime and solution quality). Is there some way to draw a scatterplot in R that also draws a non-dominated front of the two objectives?
|
I'd like to put values over a simple bar/column chart in excel.
A similar question was asked for R, and I know how to get my data into R, but not how to make the charts. What I'm doing is very simple seems easier to do in Excel than learning how to do it in R.
|
The data for my variable is in the form of Z-scores only. I'd like to log transform the scores, but I don't know the mean or standard deviation in order to covert to raw scores. Can I assign an arbitrary mean and standard deviation, use that to convert to raw scores, then log transform the raw scores? Or is there some ... |
I was recently told that it was not possible to incorporate time-varying covariates in longitudinal mixed models without introducing a time lag for these covariates. Can you confirm / deny this? Do you have any references on this situation ?
I propose a simple situation to clarify. Suppose that I have repeated measures... |
I'm using the AIC() function in R, where the argument k (default to 2) stands for the number of parameters. I'm not sure to understand well what does it mean.
How can you know k?
For example, in the case of $y=ax^2+bx+c$, does k equal 3?
As a sidenote, I saw that there is a function named sic() which comes with the met... |
I'm using Friedman's nonparametric tests for repeated measures for my thesis (I tried transformations on all variables first but data was still highly skewed) and had 2 questions:
What are the best descriptive stats to put in a table. Means and SDs are commonly reported but Friedman's tests use rank ordering of the me... |
Is there a proof or theorem out there that says that the difference between the expectations of the order distributions of $n$ draws from a distribution $X$ decreases as the variance of $X$ decreases?
Specifically, I am asking:
If X and Y are probability distributions defined over the same range and with the same mean,... |
The randomForest package in R software includes outlier function for the detection of outliers. This function uses proximity matrix or randomForest object for the outlier detection. The manual says that the type of the randomForest object can not be regression? Why is it so that this function can be used for classifica... |
Please consider two data sets dat1 and dat2 in the following format.
Dat1:
x1 x2 x3 x4 x5
1 3 8 2 10
2 12 2 9 6
and Dat2:
var type
x1 discrete
x2 contns
x3 discrete
x4 discrete
x5 contns
I want to add the values of the variables in dat1 by the nature from dat2. In other ... |
The state space equation is:
$$Y_t = F_tθ_t + v_t\hspace{4em} \textrm{eq. 1}$$
$$θ_t = G_tθ_{t-1} + w_t\hspace{2.8em} \textrm{eq. 2}$$
$F_t$ in eq.1 are the independent variables and we can predict $Y_t$ provided we know $F_t$.
Say that I am trying to forecast the number of hospitalizations due to flu based on humid... |
Is there a proof/theorem that states that
$$\mathrm{Var}(X_{kn}) \leq \mathrm{Var}(X)$$ where $X$ is a continuous random variable with distribution $F$, and $X_{kn}$ is the $k^{th}$ of $n$ order statistics from a sample of size $n$ from $F$?
|
I was wondering what is the justification/rational for using the following error measure for judging accuracy instead of simply squared error?
Link to competition:
Heritage Health
|
When reading passages like the following:
Based on a representative sample of 88 recent raids, we show that the Turkana sustain costly cooperation in combat at a remarkably large scale, at least in part, through punishment of free-riders.
I wonder what 'representative sample' might refer to.
Is it related to pow... |
I am trying to understand ANOVA. In one-way ANOVA to test equality of mean of several population groups, each group has a normal distribution with the same variance. I wonder if the common variance of each group is known and used somewhere or unknown and estimated from samples in ANOVA? Thanks and regards!
|
I am conducting a simulation study, which involves several clustering methods such as model-based clustering method (MBCM). However, there is a big problem I find that MBCM runs so slowly (might be due to the EM algorithm). I have tried my best to avoid for loop in my simulation setting but it still takes me forever. ... |
I have a panel cost data with some zero values (not missing values but rounded to 0). How should I handle zeros when I use SAS Proc Glimmix with Gamma distribution? Maybe change zero to very small values? Or is there an option for it (which I couldn't find) in PROC GLIMMIX?
Janne
|
I'm currently analysing some EEG data using a repeated measures general linear model, and I've run into a problem. I have three within-subject factors; Scalp area (3), condition (2) and word (2). When I run a three-way analysis I get mean values for Word (separated by condition) which don't match up to the means I've c... |
I get confused on the proper notations of meanings, as well as the meanings of some notations relating to random variables and their distributions. Below, I will list things that I think are true, as well as things that I don't understand, and I would love input/corrections. I have labeled each point/question with a ... |
I would like to estimate the measurement error when aggregating (via arithmetic mean) gridded spatial data. The goal is to come up with the mean elevation (or some other spatially continuous variable) +/- some measure of uncertainty for each aggregated region. However, spatial data is more often than not spatially aut... |
If $F_i = G(F_{i-1}), F_0 = x$ is a sequence of distributions that converges to a degenerate distribution as $i \to \infty$, does that imply that the variance of $F_i$ decreases with $i$?
Specifically, I am interested in the inverse Kumaraswamy distribution: $G(x) = (1-(1-x)^a)^b$ when $a=b$... Note that $G$ produces... |
What is a good resource that explains Bayesian statistics for an experimental scientists who already use Frequentist statistics? What are the Bayesian analogues for all the tools working scientists use, like ANOVA and linear regression (and how do the Bayesian analogues compare), and what software can be used to perfor... |
I am using the ADinf procedure of Marsaglia & Marsaglia to compute the CDF of the Anderson Darling statistic. I am interested in the survival function, 1 minus the CDF, for large values of the test statistic. The implementation given by Marsaglia & Marsaglia does well up until roundoff issues creep in around $z=30$:
T... |
I have a treatment sample of 200 firms. I'm using propensity score matching to pair each treatment observation with one control (sampling with replacement, in order to minimize bias associated with poor matches). This results in a sample of only 102 unique control firms (many of them are matched to multiple treatment... |
I have done many 1-sample T-tests before, but I can't figure out if I am able to use one in this situation. In our experiment, we took 12 individual insects and placed them in a chamber where they could choose to be on whatever side they pleased (One side had sugar in it and the other did not). We recorded the number o... |
I am currently using a Latin Hypercube Sampling (LHS) to generate well-spaced uniform random numbers for Monte Carlo procedures. Although the variance reduction that I obtain from LHS is excellent for 1 dimension, it does not seem to be effective in 2 or more dimensions. Seeing how LHS is a well-known variance reductio... |
So this is an odd fit, though really I think it's an odd fit for any site, so I thought I'd try it here, among my data-crunching brethren.
I came to epidemiology and biostatistics from biology, and still definitely have some habits from that field. One of them is keeping a lab notebook. It's useful for documenting thou... |
I'm learning through doing here guys, so I hope this question is considered OK (I'll edit the question down as I go - I'll remove the intro etc).
I am trying to plot the empirical cumulative distribution Frequency of a data-set with 781 observations. The data-set looks like this:
(1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
... |
Assume I have random variables $X$ and $Y$. $X$ is observable; $Y$ is not. We also know that, if $X \leq Y$, $Z = f(X,Y)$ where $Z$ is a third random variable and $f(\cdot)$ is a known function; otherwise $Z$ is missing. $Z$ is also observable (missing or a real number).
Assume I know the distribution of $X$ and I can ... |
Can you still used the least significant difference test even if the F test is not significant?
|
Possible Duplicate:
Efficient online linear regression
Is there a summation representation for multivariate regressions?
For example, if I regress $y$ on $X$ instead of using $\hat \beta = (X'X)^{-1} X'y$, if $X$ is univariate, I can use $\hat \beta = \frac{ \overline{xy} - \bar{x}\bar{y} }{ \overline{x^2} - \bar{x}... |
I need help in defining the type of distribution used in software so that I could use some standard distribution library for this purpose. I apologize for not using proper terms. It takes "center" value and an alpha parameter (0 to 1) and produces N values within a given range, so that values are "clustered" around thi... |
I have 31 observations for 9 subjects undergoing therapy (4 session for 4 subjects, and 3 session for the rest). I have implemented a mixed model to assess relationships between the observations using Fisher-transformed correlation coefficients.
For example, to assess the effect of finger tapping on correct response... |
In linear regression from a dataset $\{ (x_i, y_i), i=1,\cdots,N \}$, I wonder what distributions are for the slope and for the intercept?
In Excel output, t-tests are used to tell whether the slope mean is zero and the intercept mean is zero. But t-test assumes the distributions of slope and of intercept are normal d... |
Note that I do most of my analysis using R and Excel.
Let's take this data set for example. I modified it as the data itself is proprietary: the years are also different:
1967 2,033,407
1968 2,162,275
1969 2,159,640
1970 2,312,352
1971 2,554,449
1972 2,548,425
1973 2,101,225
1974 1,951,944
1975 ... |
For categorical predictors with k levels, it doesnt matter what you choose as your reference group. So why would the F-value significance change in the linear regression if you change the reference group?
Also is it possible for the F-test to not reject the null hypothesis when it really should? When does this happen?... |
From Wikipedia, there are three interpretations of the degrees of freedom of a statistic:
In statistics, the number of degrees of freedom is the number of
values in the final calculation of a statistic that are free to vary.
Estimates of statistical parameters can be based upon different
amounts of information or ... |
I have several rank order items about the use of languages in different contexts. Specifically, respondents were asked to order three languages from most to least used in situations such as at work, at school, when speaking with the parents, etc.
How can I analyze the data?
Can I compute some composite score to ind... |
I've always used logistic regression when Y was categorical data 0 or 1.
Now I have this dependent variable that is really a ratio/probability. That means it can be any number between 0 and 1.
I really think "logistic" shape would fit very nicely, but I remember categorical Y was a big deal when proving why MLE works.... |
How can I calculate proportion of variance of an aggregate time-series accounted for by the variance of a sub-series? As I'm not sure what the correct terminology is for explaining my question, I'll illustrate it with an example:
I have a time-series (say, for example, annual alcohol consumption in the USA) that is exa... |
This relatively simple question collapses neatly into the title. I have large swaths of numerical and categorical data that contain unknown amounts of signal relative to weak data modeling principles. From these data sets, I'm attempting to extract usable signal -- that is, data that is well-ordered, correctly transfor... |
Does the importance of the normality assumption in MANOVA decrease as group sample size increases?
|
I am at a loss about what the BUGS/JAGS specification of the following should look like. The background is that one person has four measurements taken by four different instruments. Each instrument is expected to have a different associated error. The R code for generating simulated data (not very elegant) is:
n <- ... |
Can someone please offer a nice succinct explanation why it is not a good idea to teach students that a p-value is the prob(their findings are due to [random] chance). My understanding is that a p-value is the prob(getting more extreme data | null hypothesis is true).
My real interest is what is the harm of telling t... |
Here, "weight of evidence" (WOE) is a common term in the published scientific and policy-making literature, most often seen in the context of risk assessment, defined by:
$$w(e : h) = \log\frac{p(e|h)}{p(e|\overline{h})}$$
where $e$ is evidence, $h$ is hypothesis.
Now, I want to know what is the main difference with PM... |
I want to fit an ex-Gaussian distribution (which has three parameters: $\mu$, $\sigma$, and $\nu$) to reaction time data.
How many data points are needed as a minimum to reasonably fit this distribution?
I am aware that an answer to this question depends on many factors (e.g., how much data actually deviate from the th... |
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