instruction stringlengths 9 38.7k |
|---|
I need to implement a program that will classify records into 2 categories (true/false) based on some training data, and I was wondering at which algorithm/methodology I should be looking at. There seem to be a lot of them to choose from -- Artificial Neural Network, Genetic Algorithm, Machine Learning, Bayesian Optimi... |
If I have an arima object like a:
set.seed(100)
x1 <- cumsum(runif(100))
x2 <- c(rnorm(25, 20), rep(0, 75))
x3 <- x1 + x2
dummy = c(rep(1, 25), rep(0, 75))
a <- arima(x3, order=c(0, 1, 0), xreg=dummy)
print(a)
.
Series: x3
ARIMA(0,1,0)
Call: arima(x = x3, order = c(0, 1, 0), xreg = dummy)
Coe... |
I want to perform quadrat count analysis on several point processes (or one marked point process), to then apply some dimensionality reduction techniques.
The marks are not identically distributed, i.e., some marks are appearing quite often, and some are pretty rare. Thus, I cannot simply divide my 2D space in a regula... |
An interim analysis is an analysis of the data at one or more time points prior the official close of the study with the intention of, e.g., possibly terminating the study early.
According to Piantadosi, S. (Clinical trials - a methodologic perspective):
"The estimate of a treatment effect will be biased when a trial i... |
I have some data to analyze where $y$ is dependent of $x$ - a linear regression was used.
It's a question from an exam, so I think it should be solvable. The regression was used to estimate the mean miles per gallon (response) from the amount of miles driven (predictor).
I have the following statistics available:
Corr... |
I am taking a course in data mining. I am not sure how a non linear SVM when transformed to high dimensional space becomes a linear classification problem. It would be good if someone can provide me an intuition on this.
|
Given a factor with a number of levels, say for example, versions of a banner advertisement on a web page, where the measurement of interest is the click through rate (# clicks / # of times banner add was viewed), is there a principled way to determine the best performing ad, controlling for multiple testing?
Hsu's Mu... |
What is the difference between independence.test in R and CATT (Cochrane and Armitage) tests?
How these tests are calculated?
Where do we and how do we define x=0.0 0.5 1.0 (genetic studies) for both of the tests?
|
In genome-wide association studies (GWAS):
What are the principal components?
Why are they used?
How are they calculated?
Can a genome-wide association study be done without using PCA?
|
This problem is actually about fire detection, but it is strongly analogous to some radioactive decay detection problems. The phenomena being observed is both sporadic and highly variable; thus, a time series will consist of long strings of zeroes interrupted by variable values.
The objective is not merely capturing ev... |
I am wondering that how one can calculate KL-divergence on two probability distributions. For example, if we have
t1 = 0.4, 0.2, 0.3, 0.05, 0.05
t2 = 0.23, 0, 0.14, 0.17
The formula is bit complicated for me :(
|
This is a follow up question from the one I asked a couple of days ago. I feel it puts a different slant on the issue, so listed a new question.
The question is: can I compare the magnitude of coefficients across models with different dependent variables? For example, on a single sample say I want to know whether the e... |
I'm looking for any reference about Generalized Linear Latent and Mixed Model (GLLAMM) for Crossed Factors involving both Measurement Model and Structured Model of GLLAMM (See the problem below). Any help in this regard will be highly appreciated.
Problem: A researcher observed four responses Y1, Y2, Y3, and Y4 along w... |
I have a problem when I run the Komogorov-Smirnov test.
I have to samples of daily prices distributions estimated with density(). Now I would like to compare these two distributions with each other.
data.1:
Date price
01.01.2010 1.2
02.01.2010 1.5
etc.
data.2:
Date price
01.01.2009 0.1
... |
The best way I can think to describe this question is by example: Imagine there is a ship sailing around the pacific ocean on an unknown path (possibly random.) Other ships passing by sometimes see this ship and radio in its location to me. Some of these scout ships have better instruments or a more trustworthy crew th... |
If you flip a coin and get 268 heads and 98 tails, you can calculate the probability that coin is fair several ways. A simple, heuristic observation would have most likely conclude that such a coin is unfair. I've calculated the p-value in R with:
> coin <- pbinom(98, 366, 0.5)
> coin*2
[1] 2.214369e-19
This value is ... |
I've made a little questionnaire where participants can rate an answer between 1 and 5. I calculated the mean value, the average value and the standard deviation.
Now I was asking myself if it is possible to calculated a confidence interval for these results and if yes, if this would tell me anything. So I just tested ... |
In the absence of good a priori guesses about the number of components to request in Independent Components Analysis, I'm looking to automate a selection process. I think that a reasonable criterion might be the number that minimizes the global evidence for correlation amongst the computed components. Here's pseudocod... |
I have made a very simple questionnaire that asks questions that are independent of each other. Every question can be answered with a rating between 1 and 5 where 1 means I strongly disagree and 5 I strongly agree.
Now I was wondering with statistical methods I could use to evaluate the results. I know maybe I should h... |
i'm making experiments using app. 5000 labeled dataset.i'm trying different supervised ML algorithm to evaluate the results.The vector size is 13 with the labels (totally 12 features+1 label) and i have 15 vector of labeled "flower" class. experiments consist of all data set using 10k cross validation. All features are... |
I've been using the caret package in R to build predictive models for classification and regression. Caret provides a unified interface to tune model hyper-parameters by cross validation or boot strapping. For example, if you are building a simple 'nearest neighbors' model for classification, how many neighbors shoul... |
How do you derive the expression for the $100(1-\alpha)$% bayesian confidence interval when working with the uniform distribution in the interval $[-\theta,\theta]$?
|
What is the Jeffreys prior for the geometric distribution?
|
I am considering using Python libraries for doing my Machine Learning experiments. Thus far, I had been relying on WEKA, but have been pretty dissatisfied on the whole. This is primarily because I have found WEKA to be not so well supported (very few examples, documentation is sparse and community support is less than ... |
What is the relation between a dimension and a component in a Gaussian Mixture Model? And what are the meanings of dimension and component? Thank you.
Please correct me if Im wrong: my understanding is the observed data have many dimensions. Each dimension represents a feature/aspect of the collected data and has its o... |
I have a data sample (in this case an EEG data sample, but my question refers to any type of data samples of prior unknown distributions).
I would like to do a nonparametric estimate of the expected value for my sample. I did some research, from what I understood I can do this using bootstrap sampling. I found a pdf he... |
This an exercise given in Probability Theory: The Logic of Science by Edwin Jaynes, 2003. There is a partial solution here. I have worked out a more general partial solution, and was wondering if anyone else has solved it. I will wait a bit before posting my answer, to give others a go.
Okay, so suppose we have $n$ ... |
How to calculate discrete interval coverage?
What I know how to do:
If I had a continuous model, I could define a 95% confidence interval for each of my predicted values, and then see how often the actual values were within the confidence interval. I might find that only 88% of the time did my 95% confidence interval... |
Samiuddin, (1976) states:
or, typset with $\LaTeX$ as originally posted
We start with the usual noninformative
prior distribution of $\mu_i$ and
$\sigma_i (i = 1,2,\ldots, k)$
$$\pi(\mu_1, \mu_2, \ldots, \mu_k;
\sigma_1, \sigma_2, \ldots, \sigma_k)
\propto d\mu_1d\mu_2\ldots d\mu_k
\frac{d\sigma_1d\sigma_2\ld... |
I'm about to apply Kruskal-Wallis test (non-parametric ANOVA) on three groups of unequal length. I was taught/advised to apply Krukal-Wallis only if:
dependent variable is at least at ordinal level of measurement
group's $ n > 5 $ (otherwise H statistic is not $ \chi ^2 $ distributed, so exact p-value cannot be calcul... |
I'm interested in determining whether two or more groups of data share the same mean, and it seems like the ANOVA framework is a good way to approach this. However, ANOVA assumes residuals are normally distributed, while each of my data is a number between 0 and 100 (a percentage). Because normal distributions have sup... |
I'm new to predictive models and I have a problem at hand that I need some advice with. Basically for a clinical application we want to predict the outcome of a rating scale with a model built on top of outcomes of our new measurement device. My dependent variable, a clinical rating scale, is an integer between 0 and 1... |
Given the following hierarchical model,
$$
X \sim {\mathcal N}(\mu,1),
$$
and,
$$
\mu \sim {\rm Laplace}(0, c)
$$
where $\mathcal{N}(\cdot,\cdot)$ is a normal distribution. Is there a way to get an exact expression for the Fisher information of the marginal distribution of $X$ given $c$. That is, what is the Fisher inf... |
When doing time series research in R, I found that arima provides only the coefficient values and their standard errors of fitted model. However, I also want to get the p-value of the coefficients.
I did not find any function that provides the significance of coef.
So I wish to calculate it by myself, but I don't kno... |
After knowing how LSA works, I went on continue reading on pLSA but couldn't really make sense of the mathematical formula. This is what I get from wikipedia (other academic papers/tutorial show similar form)
\begin{align}
P(w,d) & = \sum_{c} P(c) P(d|c) P(w|c)\\
& = P(d) \sum_{c} P(c|d) P(w|c)\\
\end{align}
I gave up ... |
How to calculate sample size needed for GWAS for a given MAF, power, $p$-value and frequency of the disease ?
|
My struggle with non-parametric methods continues... I'd like to apply a median polish instead of two-way ANOVA (normality and homoscedascity assumptions are violated, and $ n_{ij} $ are small, so I can't use CLT as an excuse). I've never used median polish so far, and our course in statistics taught us to worship ANOV... |
I have a dataset with the following types of predictors:
binary (e.g., gender),
nominal with 3 categories,
ordinal, and
continuous
Question:
What is the best way to set up a regression model that includes these different types of variable?
|
If one has dataset with a single outlier such as the following graph taken from Vanni-Mercer et al. (2009), is there a statistical test that one can use that accounts for the single outlier rather than having to throw it out or declare significance because of a single data point?
RT is reaction time. Trial rank is esse... |
I have a process which consists of a number of events and what is known is the timings between the events. What I'm trying to determine is a distribution that allows me to determine a likelyhood that a new sample fits the distibution.
The issue is mainly that if you have lots of samples you can approximate the result u... |
The central limit theorem as I am familiar with it applies to the limiting (rescaled) distribution of $n$ convolutions of a single probability distribution as $n$ goes to infinity, or equivalently, to distribution one gets from taking a sum of $n$ random variables each with a single fixed distribution. That is, it is a... |
How to order a set of vectors $W$ if we are given a training set $V$ consisting of $k$ $n$-dimensional vectors and partial order of them? It is not the total order, so some vectors might not be comparable with some other. The answer will depend on assumptions, so feel free to make any reasonable assumptions.
Example
Le... |
I am trying to predict real estate sales prices.
In my dataset there are independent variables that are both nominal and numeric (square meters, prices etc.)
Before feeding the data to any regression algorithm I'd like to preprocess it correctly (binning, normalizing mean / std deviation, discretization etc.)
I am o... |
A pathologist friend came to me for help with the following question for a research project. The goal is to compare the effectiveness of three different diagnostic techniques. The data set is as follows: there are 50 different specimens, each specimen was evaluated by 4 pathologists, and 3 different instruments (ie 6... |
Suppose I have 2 variables
$A$:
$P(A) =$ 0.01
$P( \lnot A) =$ 0.99
And $B$ that depends on $A$:
$P(B|A) =$ 0.05
$P( \lnot B|A) =$ 0.95
$P(B| \lnot A) =$ 0.01
$P( \lnot B| \lnot A) =$ 0.99
Applying:
$$P(B)=\sum_{A}^{ } P(B|A)P(A)$$
we get
$P(B)=(0.01)(0.05)+(0.99)(0.01)=0.0104$
Ok, my question is the following:
I... |
I'm computing cosine similarities between 2 vectors.
These vectors are information retrieval query and document representations respectively.
They have been computed using tf-idf weights.
Since my documents have different length, tf-idf weights are theoretically unbounded.
The question is: is cosine similarity still a ... |
I need to run Newey West t statistics in SAS 9.2. I already run regression, White's test, Breusch Godfrey test and Jarque-Bera normality test.
Regression is simple. Number of observations = 522
Depended variable name: rtest 1
Independent variable name: rtest 2
Data are time series data.
I found somewhere that i should... |
I have downloaded the Gaussian Processes for Machine Learning (GPML) package (gpml-matlab-v3.1-2010-09-27.zip) from the website,
and I can run the regression example (demoRegression) in Octave. It works just fine.
Now I have my own data for regression where the x (input) matrix is a 54x10 matrix (54 samples, 10 input v... |
I'm working up a taxonomy showing different methods used in pattern recognition and I'd be curious to hear about how it could be improved. The Mind Map groups different methods based on the discipline which influenced their development.
taxonomy http://bentham.k2.t.u-tokyo.ac.jp/media/zoo.png
|
I am designing a data capture method for a client for inplay sporting events and he wants to record the odds movements for later analysis in Excel once every half second. I want to get this right so that it's easy to use the data down the line for analysis in other packages.
A bit more background and assumptions.
Each... |
What free tool can I use to do simple Monte Carlo simulations on OS X?
|
I am working on joint and conditional density trees for approximating clique potentials in Bayesian Belief Networks. A brief introduction to topic is available from this paper in case you'd like to get a better description what I'm talking about.
I am looking for an implementation that supports both discrete and contin... |
I am curious, is there a way to optimize a regression according to a specific statistic?
Let's say I am interested in a model with the best possible AIC statistic (or MSE or whatever measurement I am interested in) - could I somehow direct the regression to give me the top X models that would do this? (Of course I wou... |
I have meteorological records for a point, these include temperature and solar irradiation. I want to plot them against another variable, that we shall call Rating, and see how the data are distributed. This is what I'm doing:
d1 <- ggplot(data = mydata, aes(Temperature, Rating, fill = ..density..)) + stat_binhex(na.rm... |
I would greatly appreciate your advice on the following problem:
I've got a large continuous dataset with lots of zeros (~95%) and I need to find the best way to test whether certain subsets of it are "interesting", ie don't seem to be drawn from the same distribution as the rest. Zero inflation comes from the fact tha... |
As I've heard of the AdaBoost classifier repeatedly mentioned at work, I wanted to get a better feel for how it works and when one might want to use it. I've gone ahead and read a number of papers and tutorials on it which I found on Google, but there are aspects of the classifier which I'm still having trouble underst... |
I have some samples from eight people who all gave the same answer to a question. Now, obviously the sample's mean is the answer all people gave, and the standard dev is 0. Excel throws a #NUM! error when I call the function
CONFIDENCE.T(0.05, K33, COUNTA(B33:I33))
where K33 is the standard dev (0).
What would be the ... |
Let's say I have a matrix where the underlying data is from the entire population. Let's say I also have a matrix where the underlying data has been sampled from population.
How would I analyze how well the the sample represents the population?
My gut instinct is to convert it into a row-col listing:
row col popvalue s... |
I am looking for any help, advice or tips in how to explain heterogeneity / heteroscedasticity to biologists in my department. In particular I want to explain why its important to look for it and deal with it if it exists, I was looking for opinions on the following questions.
Does heterogeneity influence the reliabil... |
I am wanting to run correlations on a number of measurements where Likert scales were used. Looking at the scatterplots it appears the assumptions of linearity and homoscedasticity may have been violated.
Given that there appears to be some debate around ordinal level rating approximating interval level scaling shoul... |
How can I change the labels of the vertical y axis in a boxplot, e.g. from numbers to text?
For example, I would like to replace {-2, -1, 0, 1, 2} with {0hour, 1hours, 2hours, ...}.
|
I have a histogram of wind speed data which is often represented using a weibull distribution. I would like to calculate the weibull shape and scale factors which give the best fit to the histogram.
I need a numerical solution (as opposed to graphic solutions) because the goal is to determine the weibull form programma... |
I'm trying to solve the following issue :
Let's say that I have three normal random variables a,b,c, non correlated.
Let's say that I only have two observations of these, M and N where :
M = a + b
N = a + c
And another variable I'm trying to explain :
R = a + b + c + err
I can do a simple regression on this data, lm(... |
Consider an experiment with multiple human participants, each measured multiple times in two conditions. A mixed effects model can be formulated (using lme4 syntax) as:
fit = lmer(
formula = measure ~ (1|participant) + condition
)
Now, say I want to generate bootstrapped confidence intervals for the predictions of... |
There seems to be in increasing discussion about pie charts.
The main arguments against it seem to be:
Area is perceived with less power than length.
Pie charts have very low data-point-to-pixel ratio
However, I think they can be somehow useful when portraying proportions. I agree to use a table in most cases but wh... |
I went to a stats course refresher last week and the instructor talked about data distribution and sampling distribution. I am just practicing with the exercises shown in class.
Based on my dataset below,
For the data in Week2, what can I explain about the ‘data distribution’. and the ‘sampling distribution’ of the sa... |
We have a large number of samples whose concentration we measure twice, averaging the two values. Typically, the coefficient of variation (cv) for each sample is < 5%, but for a few samples the cv is high. We assume that in these cases something went wrong with one or both concentration measurements. We can afford one ... |
Following a previous question, lets say we now have 3 variables:
$L$, $B$, $S$:
S
/ \
L B
So
$L$ depends on $S$
$B$ depends on $S$
$P(S) =$ 0.5
$P( \lnot S) =$ 0.5
$L$ that depends on $S$:
$P(L|S) =$ 0.10
$P( \lnot L|S) =$ 0.90
$P(L| \lnot S) =$ 0.01
$P( \lnot L| \lnot S) =$ 0.99
$B$ that depends on... |
This is in reference to the Girsanov theorem however question is general. If $X$ is a standard normal variable $N(0,1)$, why is expectation of $e^{-\mu X - \mu^2/2}$ equal to 1?
Shouldn't it be $e^{-\mu^2/2}$?
|
Are there well known formulas for the order statistics of certain random distributions? Particularly the first and last order statistics of a normal
random variable, but a more general answer would also be appreciated.
Edit: To clarify, I am looking for approximating formulas that can be more-or-less explicitly evalua... |
I have about 10 variables about products. I need to rank order the products by quality. Now, the quality is very subjective thing, so I got all 300 products ranked by domain experts.
Now I have 10 variables, and ranking assigned by an expert. About 1% of products should be excelent, about 10% should be very good, 30% s... |
I'm using the quantreg package to make a regression model using the 99th percentile of my values in a data set. Based on advice from a previous stackoverflow question I asked, I used the following code structure.
mod <- rq(y ~ log(x), data=df, tau=.99)
pDF <- data.frame(x = seq(1,10000, length=1000) )
pDF <- withi... |
Let's say I have a file A1.txt and a file A2.txt. I have written the statements
filename in1 'A1.txt';
filename in2 'A2.txt';
Now, I want to re-do this using B1 and B2 (and eventually C1, C2, D1, D2), and just rename the variable in one place. So, I want a statement like
%let prefix = 'B';
and then I want to put that... |
In Girsanov theorem, the change of probability measure variable $Z_t = \frac{dQ}{dP}|_{\mathcal{F}_t}$, why does it need to be a martingale with respect to measure $P$ for the change of measure $\frac{dQ}{dP}$ to exist?
I am having trouble understanding this. Anyone familiar with this?
|
Is there any way to determine the optimal cluster number or should I just try different values and check the error rates to decide on the best value?
|
In SPSS, if I use the hierarchical clustering procedure, I have the ability to cluster both variables and cases using a variety of methods and distance measures. For this task, I would like to use R to cluster my variables.
For context, my data come from a survey and the respondents were able to select multiple items ... |
What steps could be taken to check for bivariate Gaussianity without using regression based check? Can we somehow employ the use of definition of variogram measure for assessing spatial variability?
|
This is a Minitab printout. I want to find the value of A5, or S.
I think S is supposed to be the sample standard deviation, but I don't know how to calculate it. Any tips on how I should go about calculating it?
|
I have two logistic regression models in R made with glm(). They both use the same variables, but were made using different subsets of a matrix. Is there an easy way to get an average model which gives the means of the coefficients and then use this with the predict() function?
[ sorry if this type of question should... |
I'm working with a data set with 2-3 response variables and 7 predictor variables. All the variables are categorical. If there were just one response variable, I think a multinomial logit would be the right model, but there are 2 or 3. So my question is - is there a multivariate version of the multinomial logit?
I've l... |
I am looking for a document or research articles classifying physical or chemical measurements (or perhaps better means of measurement) according to the reference statistical distribution and properties they have.
Example of questions studied would be
What kind of weight balance equipment, technology and procedure hav... |
Going through some old notes of mine, I found a formula whose purpose seemed statistical, but whose provenance and use I have dumbly forgotten to write. I am asking if anybody might remember this one:
\begin{align*}
-N-\frac1{N}\sum_{j=1}^N (2j-1)(A_j+B_j),
\end{align*}
where
\begin{align*}
A_j=\ln\left(\frac{1}{2}+\in... |
Using R, I noticed that I get different results if I use fisher.test() with raw data (as factors) versus a contingency table. The documentation states that fisher.test(x,y) will compute a contingency table from x, y by treating them as factors.
My example is a baseline statistics exercise: comparing the gender split i... |
I'm using ENSO dataset from the NIST Statistical Reference Datasets as a test for nonlinear regression code.
The data are monthly averaged atmospheric pressure differences between Easter Island and Darwin, called Southern Oscillation Index (SOI). In the test, the data are fitted with three sine cycles (like this).
I g... |
First off, I'm a programmer but my experience with true statistics ended at A-Level so I'm looking to all of you for help with a little side project I've been tinkering with.
At home I use Plex Media Center to display all of my movies. I built an export tool for this to generate a HTML file containing information on yo... |
I'm helping my father to translate a text from my own native Latvian language to English. Even though I'm a fair English speaker and have a bit of mathematics in my past, I never did have a firm grasp of statistics. :(
The term I'm looking for has something to do with error calculation. A GPS device is measuring coordi... |
I'd like to obtain a graphic representation of the correlations in articles I have gathered so far to easily explore the relationships between variables. I used to draw a (messy) graph but I have too much data now.
Basically, I have a table with:
[0]: name of variable 1
[1]: name of variable 2
[2]: correlation value
... |
Why does a cross-validation procedure overcome the problem of overfitting a model?
|
I have a 2x3 contingency table - the row variable is a factor, the column variable is an ordered factor (ordinal level). I'd like to apply either symmetrical or asymmetrical association technique. What do you recommend me to do? Which technique do you find the most appropriate?
|
I've heard a bit about the 'kernel trick' for support vector machines, and I was wondering:
How do you identify problems that might benefit from the kernel trick?
How to implement it in R?
Thank you
|
I am taking a class in data mining and I am working on a term project using the BRFSS dataset. I have a huge dataset with 405 columns and 12,000 rows. There are many columns which are completely empty. I was trying to remove empty columns using SAS, R or Excel but it doesn't work. Could you suggest a method to remove t... |
I am having a problem computing the pearson correlation coefficient of data sets with possibly zero standard deviation (i.e. all data has the same value).
Suppose that I have the following two data sets:
float x[] = {2, 2, 2, 3, 2};
float y[] = {2, 2, 2, 2, 2};
The correlation coefficient "r", would be computed using ... |
If I have two normally distributed independent random variables $X$ and $Y$ with means $\mu_X$ and $\mu_Y$ and standard deviations $\sigma_X$ and $\sigma_Y$ and I discover that $X+Y=c$, then (assuming I have not made any errors) the conditional distribution of $X$ and $Y$ given $c$ are also normally distributed with me... |
I'm wondering how to implement two-way clustering, as explained in Statistica documentation in R. Any help in this regard will be highly appreciated. Thanks
|
I am trying to programmatically identify an ARIMA model for a series of data and forecast values.
Currently the problem i am facing is to find a way to evaluate partial autocorrelation. I have been looking for methods to calculate PACF for quite a long time now but in vain.
Please provide some online resources which ... |
The objective of this research was to investigate the long-term effects of irrigation with treated waste water on some chemical soil properties.
The investigation was carried out by comparison of soil properties in two different fields: one irrigated with the effluent from Parkan Waste water Treatment Plant over a per... |
In my attempts to fight spreadsheet mayhem, I am often evangelical in pushing for more robust tools such as true statistics software (R, Stata, and the like). Recently, I was challenged on this view by someone who stated flat out that they simply will not learn to program. I would like to provide them with data analy... |
Let $X = N(0,\frac{1}{\alpha})$, $Y = 2X + 8 + N_{y}$, and $N_{y}$ be a noise $N_{y} = N(0,1)$. Then, $P(y|x) = \frac{1}{\sqrt{2\pi}}exp\{ -\frac{1}{2}(y - 2x - 8)^{2} \}$
and $P(x) = \sqrt{\frac{\alpha}{2\pi}}exp\{-\frac{\alpha x^{2}}{2}\} $.
The mean vector is:
$$\mathbf{\mu} = \left( \begin{array}{c}
\mu_{x}\\
... |
Diallel Analysis using the Griffing and Hayman approach is so common in plant breeding and genetics. I'm wondering if someone can share R worked example on Diallel Analysis. Is there any good referenced book which covered worked examples? Thanks
References:
Griffing B (1956) Concept of general and specific combining ab... |
I have the following question for a course I'm working on:
Conduct a Monte Carlo study to estimate the coverage probabilities of
the standard normal bootstrap confidence interval and the basic bootstrap confidence
interval. Sample from a normal population and check the empirical coverage rates for the
sample me... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.