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I am trying to find out the rejection region for a permutation test about the difference between medians where:
H0: Difference between medians equals 0;
Ha: Difference between medians is greater than 0.
Considering that I have the distribution of my test statistics on resampled datasets, how can I find the critica... |
I want to show ${\rm var}(\overline{X})$ is $\sigma^2/ n$ for $n$ independent random variables each with mean $\mu$ and standard deviation $\sigma$. I would like to show this using:
$$ E(\overline{X} - \mu) ^ 2 $$
I'm doing something wrong in my own calculations because it's not reducing to $\sigma ^ 2/ n$.
Any tho... |
Question:
Are there any general guidelines with respect to the input data characteristics, that can be used to decide between applying PCA versus LSA/LSI?
Brief summary of PCA vs. LSA/LSI:
Principle Component Analysis (PCA) and Latent Semantic Analysis (LSA) or Latent Semantic Indexing (LSI) are similar in the sense th... |
The problem mentioned in this question is fixed in version 1.7.3 of the R package glmnet.
I'm having some problems running glmnet with family=multinomial, and was wondering has encountered something similar or might be able to tell me what I'm doing wrong.
When I put my own dummy data in, the error "Error in apply(nz, ... |
I have a very basic doubt. Sorry if this irritates few. I know that Mutual Information value should be greater than 0, but should it be less than 1 ? Is it bounded by any upper value ?
Thanks,
Amit.
|
I'ma stats newbie and do not know how to go about this. So I will lay it out as best as i can in the hope that some one here can help me out !
I work for a IT Infrastructure (Datacenter services) company XYZ. This company has sets up wintel, Unix boxes, Databases and Networks for it's clients as part of its services ... |
I'm looking for some python implementation (in pure python or wrapping existing stuffs) of HMM and Baum-Welch.
Some ideas?
I've just searched in google and I've found really poor material with respect to other machine learning techniques. Why?
|
If we are to classify 2 separate classes/actions using HMMs, we design 2 separate HMMs (one for each class). Do they share same set or a different set of observations-symbols for each of the HMM?
If they share different set of symbols, during the time of extracting a symbol (using vector quantization) how do we know wh... |
I have a data set where a person has no disability, a mild disability, or a severe disability. I want to determine of the model for mild and severe disabilities are the same.
I estimated three logits using the same set of independent variables (X's)
In the first model the dependent variable Y1 = 1 if they have any dis... |
We perform a known fixed number $K$ of independent experiments, each of which has known/assumed residual odds $p$ to fail. We count the number $N$ of failures. How can I choose $M$ so that $N>M$ has odds at most $q$, for some low desired overall false-positive rate $q$?
I'd prefer an approximation based on $q$ and $E =... |
I've spent the morning teaching myself about Bayes's theorem, because I assumed that it was required to help me solve my problem. However, the answer I've ended up with is the same as I would have got if I had used my naive approach prior to understanding Bayes's rule.
I'll explain my problem:
Suppose there are four po... |
I would like to use a set of weather-related historical data to fit a time series (let's say 1970-2000, Fourier terms plus ARIMA terms), but then use the fit on recent data (i.e., the last week/month of data) to forecast the upcoming day/week/month. All of the functions that I've found forecast from the endpoint of the... |
I have very little stats training, so this may be a very obvious and boring question, in which case I apologise.
Given two real-valued continuous random variables A and B, and given prior probability distributions $f_A$ and $f_B$ for each, how do I perform a Bayesian update when given the extra evidence that b>a with p... |
BIC penalizes based on the number of parameters. What if some of the parameters are some sort of binary indicator variables? Do these count as full parameters? But I can combine $m$ binary parameters into one discrete variable that takes values in $\{0,1,...,2^m-1\}$. Are these to be counted as $m$ parameters or one pa... |
I am using R (and the arules package) to mining transactions for association rules. What I wish to do is construct the rules and then apply them to new data.
For example, say I have many rules, one of which is the canonical {Beer=YES} -> {Diapers=YES}.
Then I have new transactional data where one of the records has p... |
This paper on Adaboost gives some suggestions and code (page 17) for extending 2-class models to K-class problems. I would like to generalize this code, such that I can easily plug in different 2-class models and compare the results. Because most classification models have a formula interface and a predict method, so... |
I would like to estimate a multiple linear regression model $N$ observations (with $\beta$ of length $k$):
$$Y = X \beta + \epsilon$$
subject, however, to some linear constraints on the coefficients. I.e a constraint of the form
$$M \beta = 0$$
where (at least in my case) $M$ is of dimension $2 \times k$ but more gener... |
I have been working in R for a bit and have been faced with things like PCA, SVD, QR decompositions and many such linear algebra results (when inspecting estimating weighted regressions and such) so I wanted to know if anyone has a recommendation on a good comprehensive linear algebra book which is not too theoretical ... |
So, as an example, let's say that I have data on a small auction that I conducted.
Let's say I am selling a car and there are 5 bidders, and I have data on each of their bids, who won, who participated, etc. Now, let's say that I have 5 different cars, so the auction occurs 5 separate times. For example, in one auction... |
What is expressed by the terms zeroth-, first-, second-, third-, etc. order of correlation?
Thanks!
|
Given a population to be divided between treatment / control, if I believe a variable is distributed lognormal in the population, how do I know what the necessary control size is in order to guarantee a difference in means is significant at some arbitrary level for a specific effect size?
(Reference to R or SAS exampl... |
I am working through Wasserman's lecture notes set 2 and I am unable to fill in the missing steps in the derivation of McDiarmid's inequality (p.5). Just like my previous question in the forum, I am reproducing the proof in the notes below and after the proof I will point the steps I am not able to derive.
McDiarmid's ... |
I have 2 areas within the UK, Oswestry and Swansea, which I have got the crime data figures for for my Geography dissertation... I need to compare the two areas to see the difference in crime... I have 24 crime figures from Oswestry, and 36 from Swansea.
Which would be the best way to do this (I am using SPSS) - Chi-Sq... |
I've implemented an incremental F-test program that evaluates the fit of an unrestricted model $M_{UR}$ against the restricted model $M_R$ using the F statistic $\frac{SSE_{R} - SSE_{UR}}{SSE_{UR}}\frac{n-p-1}{j}$. In this instance, I'm interested in comparing a polynomial with order $p$, against another (the restrict... |
Using R, I'd like to plot two boxplots without the boxes—just the points.
Creating clean boxplots in R is trivial:
business <- runif(50, min = 65, max = 100)
law <- runif(50, min = 60, max = 95)
boxplot(business, law, horizontal=TRUE, names=
c("Business", "Law"), col=c('green', 'red'),
main="S... |
If I have one clock, I know what the time is.
If I have two clocks, I now am unsure.
Although simplified, the problem is related to a more complex system I am testing.
If I have the following measurements from two systems:
Attribute System 1 System 2
A 0 0
B 10 100
C ... |
I use R to make neat graphs that I use in Microsoft Office documents. According to this page, the best quality is obtained with the PDF driver. Unfortunately, Word doesn't support importing PDF figures. What should I use?
|
If I have 24 temporal covariance matrices (say monthly covariance matrices computed from daily returns of all the SP500 stocks), and I compute 24 betas for variables x and y for every month for past 2 years. Then,
What is then the best estimator of beta (e.g. equally or exponentially weighted average of these betas?
... |
A time series follows an MA(1),
$$ d(t) =c+e(t)−\theta \cdot e(t−1) $$
or AR(1),
$$ d(t)=c+e(t)+\phi \cdot d(t-1)$$
What is the the effect of moving average parameter,$\theta$, and autoregressive parameter, $\phi$, on demand process? How can we explain that intuitively? What are the properties of the process and h... |
I have a panel data model with double-log functional form. I have 4 variables, one of which is a dummy. What is the best way to transform the values of 0 for my dummy to be able to take natural logs (since you can't take logs from zero)? I have found 2 options so far, but I dont know which is the best (or perhaps there... |
Alternatively, to predict foreign exchange markets. I know this can get pretty complicated, so as an introduction, I'm looking for a simple prediction algorithm that has some accuracy.
(It's for a M.Sc. university project that lasts four months)
I've read that a multi-layer neural network might be useful. Any thoughts ... |
I have been tasked with moving one of our current large stochastic models out of SAS and into a new language. Personally, I prefer a traditional compiled language, but the PI wants me to check out R, which I've never used. Our motivation for getting the model out of SAS is (1) many people don't have access to it beca... |
Are d prime (d') in signal detection theory and Cohen's d (mainly reported in the context of the general linear model) measures for the same thing (i.e., the difference of the means in SD-units), and just termed differently? Or is there any difference between those two measures?
|
When learning the course of sampling, I meet the following two statements:
1) Sampling error leads to mostly variability, nonsampling errors lead to bias.
2) Because of nonsampling error, a sample is often more accurate than a CENSUS.
I do not know how to understand these two statements. What is the underlying logic f... |
I'm looking for a good reference book in epidemiology. I have Rothman's Epidemiology: An introduction and Porta's A Dictionary of Epidemiology. Rothman's was a big dissapointment as it is very simplistic and lacks anything that is beyond obvious after basic studies. I've heard that his Modern Epidemiology is good but I... |
I try to (re)produce the results of Austin, PC. (2010).. The question is to obtain an approximated $\beta$, which leads to a specific risk difference(difference of proportions) $p_0 - p_1 = 0.02$, where $p_0$ & $p_1$ are proportions of subjects in the control and trt groups that have the response $Y = 1$, respectively.... |
I am looking at a two-stage process of diagnosis.
Stage 1 is a screen that identifies people with the diagnosis with some error, Stage 2 is a detailed examination (a gold standard)
In Stage 1, N people were screened, and S were screened positively.
When the S people screened positively were examined in detail it was ... |
I have two populations (men and women), each containing $1000$ samples. For each sample I have two properties A & B (first year grade point average, and SAT score). I have used a t-test separately for A & B: both found significant differences between the two groups; A with $p=0.008$ and B with $p=0.002$.
Is it okay to... |
I have a number of continuous but really skewed variables in the statistical analyses I am currently performing. Even though I am strongly in favour of keeping them just as they are and relaxing linearity assumptions by using splines, several faculty suggestions favour categorization for various reasons, including ease... |
I have a set of about ten questions that I would like to use to create groupings from. The responses are all dichotomous (responses are in the form of 1 or 2 where 1 and 2 represent differences in preference discovered through qualitative research).
The questions, were provided in the form:
Which describes you best:... |
I have panel data of sales for many stores in two comparable cities. One of the cities holds a special event once a month (the treatment) which is expected to boost sales across the board on that day. I would like to estimate the average treatment effect on the treated, i.e. identify whether or not the special event do... |
It was mentioned very briefly in a lecture related to graphical models that two random variables $X_3$ and $X_4$ are both dependent on $X_2$. But even when conditioned on $X_2$, the two variables $X_3$ and $X_4$ could be dependent through some other means.
I wasn't sure what the person meant by this, below is an exam... |
The name discriminative leads to some inherent definitions that I don't think are true. When first told of discriminative models, intuition says "It is a model that improves training accuracy between different classes by focusing on features that discriminate each class from each other class". I don't think that's tr... |
Note: I do not have access to SAS so I am trying to interpret the code off the macro syntax.
I have frequency-weighted data of nutrition intakes. The frequency weights are integer. This is from a repeated measures dietary study where some respondents have two measures of intake, and others have one measure. (Note: this... |
Suppose you have the following situation:
You observed over time 1000 bowling players, who each played a relatively small number of games (say 1 to 20). You noted the strike percentage for each of those players over the number of games each of those players has played.
A new bowling player comes in and plays 10 games ... |
I have a few bins of data. From each bin(which has a few thousand data points), I can compute the total number of data points, the mean of the data points, etc.. I can probably compute any/most statistical entities(mean, median, etc.) of each bin(computationally easy). However, I want to find the 95th percentile of all... |
I have data that consists of 10 repetitions of a measurement per person, for all repetitions there is one control value and one test value (after conditioning). This data will be reproduced in multiple people.
I am now thinking how to introduce the intra-individual variance into the statistical test. Without repetition... |
Simple question: How to specify a lognormal distribution in the GLM family argument in R?
I could not find how this can be achieved. Why is lognormal (or exponential) not an option in the family argument?
Somewhere in the R-Archives I read that one simply has to use the log-link for the family set to gaussian in the GL... |
I would like to know the difference between below mentioned stopping criteria used in various gradient descent algorithm
$\frac{Prev\_fun\_value - curr\_fun\_value}{Pre\_fun\_value} \le tol$
$Prev\_fun\_value - curr\_fun\_value \le tol*max(1,Prev\_fun\_value)$
where $Prev\_fun\_value$ is the previous function value b... |
I am currently trying to classify 6 class of facial expression using SVM. I am using MATLAB and LIBSVM to do my classification.
The problem i face is the pred label below produces 0 and 1. It treats it as binary classifer. I am able to do multi-class svm but there is one more step that is voting or sum-pooling which i ... |
I know that the SVM is a binary classifier. I would like to extend it to multi-class SVM. Which is the best, and maybe the easiest, way to perform it?
code: in MATLAB
u=unique(TrainLabel);
N=length(u);
if(N>2)
itr=1;
classes=0;
while((classes~=1)&&(itr<=length(u)))
... |
I'm attempting to analyse a large chunk of empiric measurements subject to two parametrised transformations. In essence, the functions take 3 'count' parameters - and returns a sequence of floats in each configuration. I'm expecting (hoping) to see some interesting patterns emerge when appropriate parameters are select... |
I currently have a representation of an object as a graph, and I have some similarity measure on that graph. I currently determine the class of a query object by trying to match its graph representation against every instance in the training set, and I assign the query's class as the class of the best graph matching.
... |
Is there a "rule" to determine the minimum sample size required for a t-test to be valid?
For example, a comparison needs to be performed between the means of 2 populations. There are 7 data points from one population and only 2 data points from the other. Unfortunately, the experiment is very expensive and time consum... |
Element of Statistical Learning equation 3.15 states that the confidence set is
$$
\{\beta: (\hat{\beta}-\beta)^T X^T X (\hat{\beta} - \beta) \leq \sigma^2 \chi^2 \} \>.
$$
How do I turn this into a confidence interval?
|
I am interested in using Generalized Estimating Equations (GEE) to model longitudinal count data. I recorded animal count observations on the same sites on many days but the spacing of the observations was uneven. I was wondering if there is a way to specify this uneven structure when using an autoregressive correlatio... |
I have a single JavaScript benchmark test that I run a number of times and store the results in an array.
I then calculate the mean, variance, and standard deviation of the results of the runs.
My question is do I use formulas for the population or sample?
|
I realize this is subjective, but I thought it would be nice to talk about our favorite datasets and what we think makes them interesting. There is a wealth of data out there, and what with all of the APIs (e.g., Datamob) along with classic datasets (e.g., R data), I think this could have some very interesting response... |
I have a sample of size 10,000 of a 4-variate random vector coming from a (unknown) continuous multivariate distribution.
How can I estimate the mode of this density using nonparametric methods?
I am currently estimating the corresponding density using the sample and a kernel estimator. Then I take the value in the ... |
For example, take the generalized regression model: y = X$\beta$ + $\varepsilon$, what would the variance-covariance matrix be for $\varepsilon$ hat?
|
How does an ensemble classifier merge the predictions of its constituent classifiers? I'm having difficulty finding a clear description. In some code examples I've found, the ensemble just averages the predictions, but I don't see how this could possible make a "better" overall accuracy.
Consider the following case. An... |
When comparing two runs (means) of different benchmark tests I use an unpaired two-sample t-test assuming equal variance.
The problem I've run into is this often results in the same benchmark test result being statistically significantly different from re-runs of the same benchmark test on the same computer/device. I n... |
There are at least three R packages providing some functions to perform a Bayesian selection variable in linear Gaussian regression model: LearnBayes, mombf and BMA.
I would be glad to know some opinions about which one is the best.
|
What is an appropriate way to test whether two logistic regressions are significantly different from one another?
Essentially, I have two similar logistic regressions made from two different sets of data, and one made from the two data sets combined. I'd like to be able to perform further analyses on the whole data se... |
I'd like to compare the execution speed of two different methods (say foo and bar in some language like Ruby). I wish I was more knowledgeable in stats to tackle this problem...
I am tempted to compare the means of the time taken by foo and bar over a number of samples, but I'm thinking it might be more appropriate to ... |
Consider the following scenario. I ran an experiment with 200 trials, each with a different stimulus. Each subject did exactly 200 trials. The subject responds with a single number anywhere between 5 and 50. The correct answer also ranges between 5 - 50. For each subject that did the experiment, I compute a single valu... |
Suppose an estimated simple linear regression equation is given as $$E[y| \textbf{x}] = \hat{\beta}_{0}+ \hat{\beta}_{1}\textbf{x}$$
Then the interpretation of the slope is as follows: For a unit increase in $\textbf{x}$, $E[y| \textbf{x}]$ increases by $\hat{\beta}_{1}$. Can this same equation be used for predicting $... |
What learning algorithms are "embarrassingly parallel?" I'll kick it off with the obvious example from the foreach documentation:
rf <- foreach(ntree = rep(250, 4), .combine = combine, .packages = "randomForest") %dopar%
randomForest(x, y, ntree = ntree)
What else is out there that can be easily parallelized with fo... |
Recently, there are several estimators have been proposed to estimate the average treatment effect (ATE) in observation studies, such as IPTW, doubly-robust estimator, etc. It fully makes senses to me for using these estimators to estimate ATE when outcome variable is continuous. However, it does not make any sense to ... |
I think this is a straightforward question, although the reasoning behind why or why not may not be. The reason I ask is that I have recently written my own implementation of a RF and although it performs well it is not performing quite as well as I had expected (based on the Kaggle Photo Quality Prediction competition... |
I ran two benchmark suites (X and Y) on two devices (D1 and D2). Device D1 complete the benchmarks after X1 and Y1 seconds and Device D2 in X2 and Y2 seconds.
I can very well calculateand& compare the relative performance in terms of speed of both the devices with-in the same benchmark X, e.g. if X1 (0.5) < X2 (2), the... |
I have a set of data about the incidence of certain types of infections that occur in hospitals. The analysis has looked at the incidence trend for all aggregated results in a time series. This uses a GAM fitted spline to identify the incidence trend for aggregated data.
Over the past year the incidence trend has incre... |
I have to find the similarity between two documents. The two documents are simple text documents and i have to report a score. I was using cosine similarity initially. But I was told that LSA is a better means. But when I got to read a few tutorials i always noticed that they used more than two documents.
So is it eff... |
We have a population of unknown size. Each element has a class A or B. We are trying to estimate the proportion of A's in the population. We can randomly sample from the population and for each element in the sample we can apply a test which will either tell us if the sample is of class A or B but in certain cases the ... |
When preforming Johansen Cointegration test for 2 time series (the simple case) you need to decide the lag you want to use. Doing the test for different lags return different results: for some lag levels the null hypothesis can be rejected but for others it can't.
My question is what is the right method based on the in... |
I have a vector of parameters $\theta=(n,ph,pt,\gamma)$ which are fed into a process which produces a result. I would like to quantitatively report the sensitivity of the result to the variation of a parameter(s). Univariate correlation isn't what I'm after because $\theta$ is sampled from a distribution. What do you... |
I want to fit a mixture model with continuous (input) variables to cluster my data. Some of the variables are correlated with each other. Should I remove the correlated variables and retain only one of them (per group of correlated variables) or can I keep all of them?
|
Let $p_1$ and $p_2$ be two distinct probability distributions. Define
$$
L(q)=D(q||p_1)-D(q||p_2)
$$
where $D$ is the usual Kullback-Leibler divergence. Assume the support of $p_2$ is included in the support of $p_1$.
Is it true that $L(q)$ achieves a (global) maximum at $q=p_2$? Where can I find a proof of this fac... |
Some where I read a note that if you have many parameters $(x_1, x_2, \ldots, x_n)$ and you try to find a "similarity metric" between these vectors, you may have a "curse of dimensioality". I believe it meant that most similarity scores will be equal and not giving you any useful information. In other words almost all ... |
Assume the demand follows an MA(1):
$$d_t=c+e_t-\theta e_{t-1},$$
Apply now, SES(single exponential smoothing)as a forecasting method. We know that the demand, $d_t$ is not independent. I was wondering if the forecasts and errors (demand-forecast) are also not independent?
|
I know, I can't use convolution.
I have two random variables A and B and they're dependent.
I need Distributive function of A+B
|
I'm wondering how to calculate precision and recall measures for multiclass multilabel classification, i.e. classification where there are more than two labels, and where each instance can have multiple labels?
|
My question is about the DLM package and the dlmMLE.
Lest's say that I have a bivariate model of this kind:
$$Y(t)= Fb(t)+e(t)$$
$$b(t) = u + Gb(t) +w(t)$$
$$b(t)=(b_1(t),b_2(t)),\quad u = (u_1,u_2)$$
Rewriting the model in matrix notation, the state equation becomes:
$$d(t) = H d(t) +w(t),$$
where $d(t)= (b(t),1,1)$ ... |
I would like to generate some artificial data to evaluate an algorithm for classification (the algorithm induces a model that predicts posterior probabilities).
These are some basic properties of the dataset:
Features have to be continuous
Response variable is dichotomous (either 0 or 1)
I would like to test whether ... |
I am using Kalman Filter to estimate my state variables for a time series data. But all my parameters in KF are unknown.
S(t) = A*S(t-1) + B*X(t) + Q ----------Sate process
Z(t) = H*S(t) + W*D(t) + R ----------Measurement process where,
T: the total number of time slots in the time series data
N: number... |
I want to run a discriminant analysis on different motion capture measures to see which of the measures distinguishes best between my two conditions. The problem is that some of the standardized discriminant function coefficients are >1 and <-1. How is that possible? What did I do wrong? I used z-transformed data to ma... |
I see a similar constrained regression here:
Constrained linear regression through a specified point
but my requirement is slightly different. I need the coefficients to add up to 1. Specifically I am regressing the returns of 1 foreign exchange series against 3 other foreign exchange series, so that investors may repl... |
I am traditionally a computer vision guy, and have started doing some self-learning in data mining. I'm having a hard time finding places where these 2 fields converge, as I'd like to get a self-study project that relates the two fields.
where are these areas two used together?
|
I'm using Softmax regression for a multi-class classification problem. I don't have equal prior probabilities for each of the classes.
I know from Logistic Regression (softmax regression with 2 classes) that the prior probabilities of the classes is implicitly added to the bias ($\log(p_0/p_1)$).
Usually what I do is ... |
I have a file containing questionnaire data (categorical data, 4 possible values). I have imported this to R to get the corresponding data frame. Now I've done some messy things with the table function to obtain a new data frame which contains instead of the whole data listing only the frequency counts in right order o... |
I want to generate the plot described in the book ElemStatLearn "The Elements of
Statistical Learning: Data Mining, Inference, and Prediction. Second Edition" by Trevor Hastie
& Robert Tibshirani& Jerome Friedman. The plot is:
I am wondering how I can produce this exact graph in R, particularly note the grid graphics ... |
Consider approximating the following expectation:
$$\mathbb{E}[h(x)] = \int h(x)\pi(x) dx$$
Where $h(x)$ is an arbitrary function and $\pi(x)$ is a distribution for which the normalizing constant is not known. Also, assuming the above integral is highly variable and high dimensional the standard approach would be to us... |
I have multivariate time series data of the EURUSD financial vehicle. In this data each variable represents a different metric. There are ~200,000 rows and ~20 variables.
There are no NULL values for any variable at any row. All data is numerical.
Alongside this data, at each time point I have the univariate data "Prof... |
I have a following situation in which 6 experts are asked to give opinion about a bottle of wine by rating it from 1 - 5 stars. In addition, somehow we have a measure of the informativeness of each rating (think of it as a measure of how reliable the expert who gives the rating is), and let's call this measure the info... |
A coin is tossed 900 times and heads appeared 490 times. Does the result support the hypothesis that the coin is unbiased?
|
I am experimenting with WEKA and I'm trying to understand the impact of k in cross-fold validation. It seems reasonable to me that the higher k is, the more accurate the classifier will be (with respect to the train/test data, that is).
This doesn't seem to be the case when I am varying that parameter. Why not?
|
I'm trying to describe mean differences between two populations $x_1$ and $x_2$, which are non-zero and positive. Their distribution is approximately beta with a positive skew. For example, with R:
# x1 <- round(rbeta(10, 1, 100)*1000, 1)
# x2 <- x1 + round(rbeta(10, 1, 100)*100, 1)
x1 <- c(1.7, 12.6, 22.3, 37.3, 15.2,... |
I am working with a large dataset of behavioral data that I am treating (post-hoc) as a time-series experimental design to look for reliable change in a single dependent variable as a result of a treatment. The data comes from user's interaction with a website over 10 years. There is an overall improvement from time 1 ... |
In this case I presume loss of ANCOVA power, so I don´t know what type of analysis should I run next. There was significant difference in covariate between groups (p=0,008). Is there some solution? Could you help me please? Can I run ANCOVA if my groups differ on covariate (I know, that I can, but is it right solution)... |
I have a classification task where I have a number of predictors (one of which is the most informative), and I am using the MARS model to construct my classifier (I am interested in any simple model, and using glms for illustrative purposes would be fine too). Now I have a huge class imbalance in the training data (abo... |
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