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Complex survey data is that typically found produced by the National Center for Health Statistics (NCHS) or the NSLY; it typically contains information on PSU, strata, and weights. To make nationally representative samples, one would traditionally perform a weighted regression that accounts for the sampling design by T... |
We have a database with different countries and each country is divided in a number of industries.
We want to generate a new measure for industry profitability which will be the median per industry per country.
What would the command be in Stata? We already have the measure for profitability.
|
Most of situations, we only deal with one outcome/response variable such as $y = a + bx +\epsilon$. However, in some scenarios, especially in the clinical data, the outcome variables can be high-dimensional/multivariate. Such as $\mathsf{Y} = \beta{x} + \mathsf{\epsilon}$, where $\mathsf{Y}$ contains $Y_1$, $Y_2$ and $... |
I would like to compare the results of several diagnostic modalities on a population to identify a disease. More specifically I would like to compare the sensitivity of the modalities (all have 100% specificity) and would like to include cost considerations.
Could some one point to me information sources on the proper... |
I'm implementing a decision tree algorithm, and I'd like to get a feel for how it performs relative to other implementations. Can anyone recommend popular datasets for training and testing decision tree algorithms? I've found some resources like this, but I'm not sure widely used it is.
|
Given multiple cross-validation folds of a logistic regression, and the resulting multiple estimates of each regression coefficient, how should one measure whether or not a predictor (or set of predictors) is/are stable and meaningful based on the regression coefficient(s)? Is this different for linear regression?
|
I'm new to http://stats.stackexchange, so please let me know if I'm doing something wrong.
I have the following problem:
Suppose that there is a car traveling along a flat surface. There are no roads on this surface, so the travel can be thought of as random.
There are five people in a helicopter flying above this surf... |
Is it reasonable to choose a regression model with a value of 0 for the intercept when this makes logical sense? For example, I am trying to model a physical geometric relationship, and I know that when x = 0, y = 0. Yet the consequences of choosing such a model are that the R^2 value becomes significantly higher (it c... |
I am working on my thesis and working machine learning. The overall problem is Detecting and Recognition of Road Inventory.
For my research part I am looking into decision trees, especially Hough forests. There are some areas where I need more information and if anyone else have worked with this I might save some time ... |
Let's say I want to produce a series of random numbers that (i) follow a Laplace (or Cauchy) distribution and (ii) are correlated with a correlation rho. In the case of normal samples, if $r_{1}\sim U(0,1)$ and $r_{2}\sim U(0,1)$, then $ z=\rho r_{1}+\sqrt{1-\rho^{2}}r_{2}$ are correlated with correlation $\rho$.
But ... |
I have a very large dataset where I have repeated measurements over time for individual locations. Some locations might have 10 data points and some locations have only 1 data point. I fit a mixed model and use locations as random effects. My question is can I still use the location that only has 1 data point (since y... |
The situation is as follows. There are 400 examples in the training set and 200 discrete classes (each class has two examples). There are a few thousand attributes.
When I run dimensionality reduction to 2D or 3D, I would like to see (optimally) 200 clusters of 2 points each - one cluster for each class. However in pra... |
I've made replicate measurements of a parameter (fluorescence) which is expected to increase with time, and I'm having a hard time understanding how to test for significance of the slope of the parameter vs. time (using a linear least squares model).
Intuitively, it makes sense to me to combine all time-fluorescence pa... |
I'm using a mixed effect multilevel model for a crossed design in R. By design, one of my conditions has half the number of observations as the other condition (I am not talking about missing values here). Of interest is a contrast comparing the two. Here's the questions:
Should I weigh the contrasts differently takin... |
In "Alternatives to the Median Absolute Deviation" (Rousseeuw and Croux, J. Amer. Statistical Assoc, 88(424), 1993, pp.1273–1283) and a few other papers from the same authors published in 1992–1993, Rousseeuw and Croux introduce their robust scale metrics $S_n$ and $Q_n$. They offer correction factors for finite sample... |
From Wikipedia, we know that $n$, the degrees of freedom, should be larger than $p-1$ where $p$ is the dimension of the scale matrix.
Also, from the bottom part of the same article, we see "Bartlett decomposition" to sample Wishart distribution where the diagonal element is generated from $\chi^{2}(n - i + 1)$.
However... |
If p is the probability of success of a binomial trial i would like to calculate the number of trials n required that if performed would give a probability x of at least one success. Is there a way to obtain this n in R? I have a large vector of probabilities and would like to extract this n for a given x.
Thank you
|
I've got a non-linear model that I've been applying to some data of repeated binary outcomes. I have data for multiple years, and I'd like to add random effects (by year) for two of my parameters. Looking at the lme4 package in R, it seems that it supports non-Gaussian error structure and nonlinear models, but not simu... |
After seeking clarification about linear model coefficients over here I have a follow up question concerning non-signficant (high p value) for coefficients of factor levels.
Example: If my linear model includes a factor with 10 levels, and only 3 of those levels have significant p values associated with them, when usin... |
In R, if I set.seed(), and then use the sample function to randomize a list, can I guarantee I won't generate the same permutation?
ie...
set.seed(25)
limit <- 3
myindex <- seq(0,limit)
for (x in seq(1,factorial(limit))) {
permutations <- sample(myindex)
print(permutations)
}
This produces
[1] 1 2 0 3
[1] 0 2 ... |
I made a visualization of Amazon related products. Every link in visualization means two products are often bought together.
Now I'm applying various graph analysis techniques and am fascinated by the results. The biggest problem though is translating scientific terms to human language (please pardon me if it sounds sn... |
There are two questions I feel puzzled in the recent period.
Firstly, if given a set of sub-graphs, which are sampled from the underlying graph, how can I infer the underlying graph given the set of observed sub-graphs? If you can refer some good papers to me, I will appreciate it very much. This is just one case.
A... |
I have a dataset where all observations are measured several times and reported outcomes correspond to those measurements. In other words, my set of data points looks like
$\{x_i, y_{i_1}, y_{i_2}, ... y_{i_n}\}$
I would like to make a predictive model to predict $y$ from $x$. What should I try to predict? The average ... |
In response to this question, regarding whether my design where I randomly presented participants with pictures from different categories was an example where I should use a repeated measures ANOVA, I got the answer that I should use a mixed-model instead, with one of the reasons being that I have two forms of dependen... |
Problem
Let $X$ be a $n$-bit random variable and $s$ be the known estimated value for $X$. Our estimation has an error with normal distribution. In other words, $X|s \sim \mathcal{N}(s,\sigma_z^2)$.
We want to calculate $p\left(B_1(X)=1|s\right)$ numerically where $B_1(X)=1$ means the first bit of $X$ equals to $1$.
A... |
This is something I'm seeing done as sort of an ad-hoc method and it seems very fishy to me but perhaps I am missing something. I've seen this done in multiple regression but let's just keep it simple:
$$ y_{i} = \beta_{0} + \beta_{1} x_{i} + \varepsilon_{i} $$
Now take the residuals from the fitted model
$$ e_{i} =... |
I often use a ROC curve and the area under that curve as a measure of classifier accuracy in 2-class problems, e.g:
#Load a dataset
library(mlbench)
data(Sonar)
#Build a model
library(caret)
model <- train(Class~., data=Sonar, method='gbm', tuneLength=1, trControl=trainControl(method='cv'))
model
#ROC curve and AUC
l... |
What is the distribution of the variable $Y$ which is given by
$$Y = \sum^N_{i=1} Z_i X_i $$
where :
$Z_1,\dotsc,Z_N$ are independent and identically distributed and the density function $f_Z(z)$ is known (a shifted chi-square distribution),
$X_i \sim\chi^2_L(\lambda)$, where $\lambda$ is the noncentrality paramter a... |
I'm playing with a randomForest and have found that generally increasing the sampSize leads to better performance. Is there a rule / formula / etc that suggests what the optimal sampSize should be or is it a trial and error thing? I guess another way of phrasing it; what are my risks of too small of a sampSize or too... |
Imagine a regression model where there is a continuous-valued response variable and three continuous-valued explanatory variables. For concreteness, imagine that we are interested in the effects of "Predictability," "Length," and "Frequenty," on the reading times "RT" of words.
Suppose further that we know that there ... |
I am working on a project on gesture recognition(in c# language). In some part I had to use neural networks using the sigmoid activation function. I am using the aforge.net(http://www.aforgenet.com/) library for the same.
The system developed gets trained when I use a certain part of the training data. However when I ... |
It has been a few years since I fit a mixed model, so I have gone on a massive review session on old notes, books (Pinheiro and Bates, Faraway, etc) and going through the posts on SO and CV about mixed models. It has been great, but I am left with a few questions that are likely so basic they are missed in most of thes... |
I'm running a glmm with the lme4 package in R that looks like the following:
glmer(y ~ factor1 + factor2 + (1 | RE), data=data, poisson)
And I get the following warning message:
Warning message:
In mer_finalize(ans) : gr cannot be computed at initial par (65)
Both glmer(y ~ factor1 + (1 | RE), data=data, poisson) and... |
I need to automatically identify if a time series is intermittent or not. Depending on the result I'll use one or another method for forecasting it.
Is there any test to detect intermittent time series?
|
I am trying to figure out good model to analyze social dynamics using a model. I have commenting data from a website. Such as 500 articles, 10000 users, and their 75000 comments. Every user does not comment on every article.
The opinions posed by each user is linked to the opinion of the previous users, as well as the... |
I previously asked this question: link
I've generated the two logistic regression models described in the link using all available data (8 seasons for all 30 teams), and now I want to decide which is a better predictor of win percentage in the coming season, winning percentage in the previous season or Pythagorean expe... |
Let $X_1$, $X_2$, ..., $X_n$ be iid RV's with range $[0,1]$ but
unknown distribution. (I'm OK with assuming that the distribution
is continuous, etc., if necessary.)
Define $S_n = X_1 + \cdots + X_n$.
I am given $S_k$, and ask: What can I infer, in a Bayesian manner, about
$S_n$?
That is, I am given the sum of a sampl... |
I am performing multiple t-tests to compare conditions of data. I have had to resort to permutation based t-tests (based on difference of means) due to high variance between samples.
My question is if I am using permutation based t-tests is FWE correction still required?
My understanding is that because is it non-para... |
Gelman & Hill (2006) explain how a multilevel regression model can compensate for data sparsity by pooling parameter estimates. But what happens if the data are not sparse at random?
For example, suppose we are evaluating a new blood pressure medication. On every visit we measure a patient's blood pressure, administer ... |
I want to conduct a statistical test that will allow me to say that two populations are similar rather than different. As statisticians know, I can't do this with tests like the T test because the null hypothesis of the test is that the populations' means are equal. Hence my question.
|
Imagine two experiments:
1) A group of $n=100$ individuals are under condition $A$, and they perform some test. Among these individuals, $y=5$ individuals succeed in the test.
2) A group of $m=1000$ individuals are under condition $\Delta$ and they perform some test with two possible issues: the first possible is that... |
Can a gaussian ARMA process have non-gaussian innovations? (i.e., is there an ARMA process that is gaussian, but the corresponding innovations are not gaussian)?
|
I have a simple auto-regressive function:
$x_{i+1} = c - cx_{i}$
It is linear and first order. There is no noise in the model although there is in the data. I am using Matlab and have a vector (time series) of numbers that has arisen from a process governed by the above equation. I would like to obtain the value of the... |
In an answer here: Convergence of identically distributed normal random variables, the following lemma is mentioned:
Lemma: Let $X_1, X_2, \ldots$ be a sequence of zero-mean normal random
variables defined on the same space with variances $\sigma^2_n$. Then,
$X_n \to X_\infty$ both in probability and in $L_2$ (and... |
I am using the mlogit package in R to run a multinomial logistic regression on pooled discrete choice data collected using two different questionnaire formats. I want to test whether the format had a significant effect on choices. When I run the basic model I get a result. But when I run the same model with a dummy var... |
I want to perform a changepoint analysis with the help of the PELT method:
Killick & al,
Killick & Eckley
I assume that the data are normally distributed before and after the changepoint. After reading these two papers I still do not know whether the assumption of equal variance before and after changepoint is requir... |
Given a known number of white and black balls in an urn, what is the number of trials without replacement required to achieve a given x probability of drawing at least one white ball.
Which function gives me this number of trials?
Thank you very much
|
This is a generic question. Let me put forth an example scenario. Say, I had 2 techniques for allocating my daily budget within 4 stocks. Upon allocation, I get the data about the stock's performance the next day. (Am lazy, and go to a movie after allocation).
Problem 1:I have to evaluate or come up with an experimenta... |
Imagine a (reasonably large) household survey where all persons in every household have been questioned. For the purpose of microsimulation, this survey needs to be expanded to a full population. In a first step, weights are attached to each observation so that external control totals are obeyed (calibration).
If we on... |
Controlling for variables like, firm size etc, is quite obvious. But I really have no idea on how to control for industry effects and year effects. I've read that you must insert dummy variables, with two digits SIC of GICS codes. But how does one do that in SPSS (or Stata).
Can you please help me with this?
|
I need some help to understand some topics in Agresti's Categorical Data Analysis. In section 6.3.1 (p 231), he provided a model like:
$$
\text{logit}(\pi_{ik})=\alpha+\beta x_i+\beta_k^Z
$$
where $i$=1,2, $k$ = 1, $\ldots$, $K$
Basically we have 3 categorical variables $X$, $Y$, & $Z$ ($Z$ is a confounding variable)... |
I have data which looks like:
I tried to apply normal distribution (kernel density estimation works better, but I don't need such great precision) on it and it works quite well. Density plot makes a ellipse.
I need to get that ellipse function to decide if a point lies within the ellipse's region or not. How to do tha... |
In simulating iterative decoding of low-density parity-check codes there may be (for a certain signal-to-noise-ratio of a noisy channel) for example 10 decoding failures out of $10^6$ trials. The log of probability of decoding failure is plotted against signal-to-noise-ratio.
I quote from the Appendix of MacKay's paper... |
I'm no statistician, but I do find the area of mathematics fun and fascinating. I have a friend who has designed a "roll-mid" dice system for his custom tabletop RPG and as part of the game balancing, I'm interesting in finding out certain result possibilities.
An individual die has the following results:
1 : cr... |
I am estimating sales with data on customer and store locations and attributes using a Huff-style model, where sales decay with drive time and increase with attractiveness of the store.
One hypothetical instance of the problem is illustrated below. The 3 pushpins represent stores and the white flag represents the site ... |
I am running an OLS regression using dummy variables built from categorical variables. Say, race became race1, race2 and race3. I omit race1 in order to escape the dummy variable trap and run OLS and gain some coefficients for race2 and race3.
What would be the coefficient for race1 in the regression equation? Or I jus... |
Is there a limit which is the least acceptable when using multiple imputation (MI)?
For example can I use MI if the missing values in a variable are the 20% of the cases while and other variables have missing values but not to such a high level?
|
I have a dataset, on which I am doing some data mining. My mining method has certain parameters which I can fiddle with, presumably leading to better or worse quality results. I measure the quality of these results with some statistical tests, which gives me a low P-value for "good" results.
This generates a lot of P-v... |
First, let me acknowledge up front that I'm not as well versed in statistics and mathematics as I'd like to be. Some might say have just enough knowledge to be dangerous. :D I apologize if I'm not using terminology correctly.
I am trying to model the probabilities of a system transitioning from one state to another. ... |
My question is if there are any good online materials for learning this. Something that introduces things well, especially ARMA models and the related math.
Edit: I'm looking for something of the high-end undergraduate level. Something like in Brockwell and Davis' Introduction to Time Series and Forecasting
|
I'm trying to test the fit of two logistic regression models. I understand that deviance and AIC are good methods for this, but what if one model has better AIC but worse deviance? This is what I think has happened in my case.
Here's the summary/anova table from the first logistic regression:
Call:
glm(formula = winp... |
Concentrations of 50 proteins were measured in 50 normal persons and 150 patients. I am just wondering what kind of analysis will be most appropriate to finding out which protein concentration is most different.
|
Here is a list of logistic regression coefficients (first one is an intercept)
-1059.61966694592
-1.23890500515482
-8.57185269220438
-7.50413155570413
0
1.03152408392552
1.19874787949191
-4.88083274930613
-5.77172565873336
-1.00610998453393
I find it weird how the intercept is so low and I have a coefficient that i... |
This is a bit of a long-winded data vis question.
We're gathering data from a water quality test measuring fecal contamination. The test measures fluorescence in 11 discrete chambers. The water is known to be more contaminated as more of the chambers fluoresce and there's a non-linear way to quantify the water's cont... |
Just curious about two options in the scikits SVM class.
Does anyone know what scale_C and shrinking do? Not much in the documentation unfortunately.
|
I am trying hard to do the following and have already spent a few hours in vain:
I wanted to do the scatter plot.
But given the high dispersion on those dots, I would like to bin the x-axis and then for each bin of the x-axis, plot the quantiles of the y-values of the data points in each bin:
Uniform bin size on the x... |
I am working my way through Multitrait-Multimethod Matrix in a psychometrics class. We're only required to be able to analyze them but I'd really like to be able to construct them. I think I am able to do that (basically it's a rearangement of the correlation matrix with coefficient alpha for the diagonals). I am pr... |
I have a collection of documents, and know they may share a single topic. Is there a way to identify this topic? I know LDA (Latent Dirichlet Allocation) is an approach. But LDA result is to associate each document with a set of topics. However, I am more interested to find a common topic that can be used to label this... |
I lack formal knowledge about statistics and got lost in the Wikipedia articles about the subject.
I have an algorithm that produces a solution for a problem. There might be several solutions possible. Not all solutions are equally good, and I am able to give score for each solution.
I want to be able to tell if the a... |
I hope you'll suffer a question from a novice :)
I'm trying to find the best way to graph (in Excel) the month-by-month share of site-wide visits and pageviews in five referral sources, grouping the remaining share as one: "other sources."
My thought was to do a clustered, stacked column chart, where each month has a c... |
I want to know which brand of wood pellets (i.e., the fuel) is best suited for my stove, to know this I had 2 temperature loggers installed at the air intake and hot air vent. Essentially, if you know how cold the intake air was and how hot it came out, it should be possible to calculate the energy that was achieved du... |
I have a situation where I have collected mouse movement points from a website. I have a series of (x, y)-points, and I need to detect different repeated patterns of mouse movement from this data. For example, mouse moving very slowly, mouse moving very fast toward a direction and then stopping for a while, mouse scrol... |
We've got a construct-likert-scale with an internal (8 items) and an external dimension (6 item) and there is also a 5-point item y assessing the "subjective" perception (How skilled do you think you are?).
$N$ is 250
y-Cell frequency:
extrem gering sehr gering gering mittel hoch sehr hoc... |
Can anyone explain to me advantages and disadvantages of classification SVM that distinguishes it from other classifiers?
|
I have a study looking at classroom socialization. Students named the top other students they wanted to read a book with before and after treatment. There was also a control group that received no treatment. Before the treatment you have a few really popular kids getting all the votes and a lot dorkier kids getting ... |
Let's say I have two signals $x$ and $y$, sampled $N$ times, i.e.
$$ x = [ x_{1}, x_{2}, ..., x_{N} ] $$
$$ y = [ y_{1}, y_{2}, ..., y_{N} ] $$
I would like to check whether $x$ and $y$ are statistically independent, with a certain level of probability.
I have been looking into the Chi-Square Test For Independence. Ho... |
It seems to me that only two R packages are able to perform Latent Dirichlet Allocation:
One is lda, authored by Jonathan Chang; and the other is topicmodels authored by Bettina Grün and Kurt Hornik.
What are the differences between these two packages, in terms of performance, implementation details and extensibility?
|
I'm running into troubles fitting a polytomous logistic regression model using grouped data. The data are of the form (dput at bottom):
> head(alligator)
lake sex size food count
1 Hancock male small fish 7
2 Hancock male small invert 1
3 Hancock male small reptile 0
4 Hancock male small bir... |
I'm trying to estimate a multiple linear regression in R with an equation like this:
regr <- lm(rate ~ constant + askings + questions + 0)
askings and questions are quarterly data time-series, constructed with askings <- ts(...).
The problem now is that I got autocorrelated residuals. I know that it is possible to fit... |
My data consists of measurements on patients with cancer and the variables are some indicators regarding the cancer as well as the stage and the grade of the cancer and some personal info about the patients. According to the doctors the missing values occured either because the part of the tissue they took from the pat... |
Recently I got a global longitudinal data from several countries, and each county has one outcome variable and two predictors from 1995 to 2008. I found one of the predictors is always missing in each country in 1995, 1997, 1999, and 2001 because that variable was collected every two years before 2001. This situation s... |
This has a simple answer but it has been eluding me nonetheless.
I have been trying to build a PCA plot from scratch with the ability to plot predefined groups in different colors. I can plot PCA but I want it to plot with predefined groups (samples) with top 100 expressed genes. I have three groups. Can any body hel... |
I hope you all don't mind this question, but I need help interpreting output for a linear mixed effects model output I've been trying to learn to do in R. I am new to longitudinal data analysis and linear mixed effects regression. I have a model I fitted with weeks as the time predictor, and score on an employment cour... |
I have several streams of time-series data representing sensor readings that are usually closely correlated (at least in the casual usage of the term) though with different scalar multipliers applied. For example, say I have time-series A, B, and C representing historical sensor readings over time. B might be consisten... |
Suppose we have a binary variable $X$ that indicates whether a person ate pizza during the week. This variable is recorded for an entire year. So we have $X_{1}, \dots, X_{52}$ values (1 or 0). Suppose I am interested in the number of weeks of the last 4 weeks that a person did not eat pizza. I want to use this to pre... |
I have 6 variables ($x_{1}...x_{6}$) that I am using to predict $y$. When performing my data analysis, I first tried a multiple linear regression. From this, only two variables were significant. However, when I ran a linear regression comparing each variable individually to $y$, all but one were significant ($p$ anywhe... |
I'm just wondering if it's possible to analyse and interpret variables that have been transformed using different transformations (eg log and square-root) or if all variables in the analysis have to have been transformed with the same method in order to interpret the results.
Thanks,
Suzie
|
I am really interested in learning techniques which can help me deal with the problem briefly described below.
I have a two-class {$0,1$} classification problem.
Most of the object attributes are incremental in time:
when new object appears we know very little about it;
as time passes by its "incremental" dynamic attri... |
I have two finite-sampled signals, $x_1$ and $x_2$, and I want to check for statistical independence.
I know that for two statistically independent signals, their joint probability distribution is a product of the two marginal distributions.
I have been advised to use histograms in order to approximate the distribution... |
For my work, im using the multilabel dataset from this webpage. Few dataset which are listed in the page (for, e.g bibtex) have nominal attributes, i.e attribute values are 0 and 1.
My queries are given below
Is it valid to run kMeans clustering algorithm on these nominal dataset to get centers and target label which... |
Let's say I have a questionnaire about a toy and I ask:
The person to rate the toy on a scale of "bad, medium, good"
How much the person thinks it cost to make the toy
I want to test whether there's a (monotonic) relationship between the two variables. What's the best way of doing this?
One way is to run two differe... |
I have two signals s1 and s2, sampled 170 times each.
x = 0.2:0.2:34;
s1 = rand(size(x));
s2 = randn(size(x));
The calculation of the MI (mutual information) between two discrete variables requires knowledge of their marginal probability distribution functions and their joint probability distribution.
I am estimating ... |
I am planning to run a moderated regression on my dataset with two IVs.
One of them is a straightforward interval data-type, between subjects IV (e.g. anxiety level).
The other is a categorical data-type, within subjects IV (e.g. type of social situation).
DV is outcome scores on a variable (e.g. psychological adju... |
I have a basic doubt in dimension reduction for text dataset eg. 20Newsgroup, rcv1 etc. Initially I extract the number of word occurrence in each document, i.e word x document matrix would be $n \times d$ where $n$ is the number of documents and $d$ is the dimension.
I would like to reduce the dimension, say $d_1 << d... |
I've been working on Griddy Gibbs sampler (paper: Ritter and Tanner) and I've implemented it in R. But I've faced a problem when I started thinking on its uses in other contexts.
If I try to use an impoper uniform prior in a non conjugate setting, I'm supposed to perform numerical integration with the lower and upper ... |
I'm trying to calculate the finite integral for the CDF of the normal distribution, when I plug the equation into Wolfram Alpha and integrate
exp((-t^2)/2) dt from -inf to 1000000
I get: 2.5 (for just the integral), when I run the same equation through R I get 0. On further digging I think the discrepency lies with ... |
As explained on this Wikipedia page, if two random variables X and Y are uncorrelated and jointly normally distributed, then they are statistically independent.
I know how to check whether X and Y are correlated, but have no idea how to check whether they are jointly normally distributed. I hardly know any statistics (... |
I want to calculate the exponent of the function which shows zipf's law in data.
I'm working in the context of graph node degree analysis and want to comprehend results shown by Border et al. on a new dataset. I have pairs of values where the first value denotes the degree and the second one the number of nodes with th... |
I have multiclass unbalanced data (4 class with 15% 25% 45% 15% data in each class). Which method is good for classification of such data- SVM or ANN?
UPDATE- Let me make the question little more general. @Dikran Marsupial said in one answer "choice of classifier depends on the nature of the particular dataset" but wh... |
SPSS provides an easier option for dummy coding in the General Linear Model (GLM) function when compared to the regression menu.
I am just wondering what should I do to perform hierarchical regression in GLM?
Should I just choose Sum of Squares Type 1.
My analysis involves one dependent variable, one categorical variab... |
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