1
vote
0answers
8 views

How to define shape and scale parameters of selection for testing selection on Pearson Criterion?

I have selection generated by my program. I need to test null hypothesis about accordance to Weibull distribution using Pearson criterion. I stuck on defining alpha(shape) and lambda(scale) parameters ...
0
votes
1answer
26 views

What are variable weights in principal component analysis (PCA) using MATLAB?

Can I set variable (inputs) weights in MATLAB for principal component analysis using pca() function? There is VariableWeights ...
1
vote
2answers
26 views

Analysis with unequal starting groups

Background: Our business wishes to perform an demand analysis based on two marketing treatments A and B. Due to constraints imposed from the onset, there will be a 50/50 split (receive/not-receive) ...
0
votes
0answers
15 views

A book on digital signal processing and control theory for machine learners?

I noticed that digital signal processing (DSP) and control theory (CT) are essential to master machine learning, at least I saw that many great machine learning scholars are experts in these two ...
0
votes
0answers
15 views

Non linear regression using R [on hold]

I am working on a prediction problem for continuous data. I have some data which I want to fit in the equations. It's non-linear in nature. Can anyone suggest me good non-linear regression algorithms ...
0
votes
0answers
19 views

PCA to look at relationships between pretest - posttest changes?

I ran a pretest posttest experiment with two groups. I am interested in looking at how the changes in the measured variables (for example: levels of depression, levels of empathy, levels of anxiety) ...
2
votes
0answers
28 views

Where is the dominated convergence theorem being used?

I am trying to fully understand the proof of a theorem, I only have a problem with the application of the dominated convergence theorem. For the sake of completeness I will upload the whole statement ...
1
vote
2answers
27 views

How to measure the fitness of a garch model?

When we talk about the linear regression, we have $R^2$ to measure the fitness of the linear model. Here is the problem, do we have a similar statistical to measure the fitness of a garch model for ...
0
votes
0answers
15 views

how to remove specific value in R? [on hold]

I have few Id's in my data set as '0.000000e+00' , which i want to remove from my data set ( i mean all records related with this id) please support with required code
0
votes
0answers
20 views

[CNN]: Predict label of one single image using DeepLearnToolbox [on hold]

I am using DeepLearnToolbox to do CNN (Convolutional Neural Networks). I have computed my network successfully and I've seen my accuracy, but my question is: How can I query one single image into ...
0
votes
0answers
29 views

How to design an economic index?

I'm designing a linear economic index: $I_{t}=W_{1} X_{t_{1}}+W_{2}X_{t_{2}}+W_{3}X_{t_{3}}$ where $W_{1}$ to $W_{3}$ are weights of inputs ($X_{t_{1}}$ to $X_{t_{3}}$) and $I_{t}$ is the final ...
2
votes
0answers
40 views

Is glm(A~B*C*D) the same as glm(A~C*B*D)?

When I run these two in R, I get different values. I thought that I should get the same values since it just includes their interaction terms.
0
votes
0answers
13 views

What are are some common concepts regarding optimizing a algorithm with forecasted input?

I am a programmer working on a problem where I need to make an optimization based on forecasted data. I feel kinda lost, and would like to find some statistics/machine learning articles on similiar ...
0
votes
0answers
27 views

Contradiction between Pearson's correlation coefficient and t-test results

I've been analysing data between cliff height and average erosion rate. The data is parametric so I used Pearson's correlation and found that I got a coefficient of 0.017. When I applied a 2-tailed ...
0
votes
0answers
16 views

Clustering where intra-row sign matters but inter-row sign doesn't

I'm not sure how best to express this question except through an example. I have some data, let's say it represents the inputs from 2 partners on a task. From that, we can create a set of difference ...
0
votes
1answer
28 views

Recommended Books on Advanced Statistical Inference [duplicate]

Can anyone suggest a nice book on advanced classical statistical inference? Thanks.
0
votes
0answers
17 views

Insignificant slope coefficients

While calculating the value of the dependent variable why do we take into account even the variable whose slope coefficients were not significantly different than zero? Is my understanding correct ...
0
votes
0answers
9 views

How to import R library when using JRI in java Eclipse? [migrated]

In my java project, I need to compute a confidence interval, which is too hard to write a code by myself. So I decided to use a method in R statistics, and transfer the computing result to my java ...
0
votes
1answer
35 views

Various methods for predicting multiple dependent variables (python)

I would like to model and predict multiple dependent variables depending on one or more independent variables. The most straightforward method appears to be multivariate regression. I was wondering ...
1
vote
0answers
16 views

Pair statistics: alternative to two point correlation?

I am interested in knowing whether my data have close pairs. Closed in some properties. One way to do it is to find the distribution of say for example $F_{ij} = w_1(x_i-x_j)^2 + w_2(y_i-y_j)^2$, ...
1
vote
1answer
17 views

Finding optimal lag order for an exogenous regressor in a VAR model

I can't use VARselect as it gives lags in a VAR model which considers all the variables to be endogenous. In my case, one of the variables is exogenous and affects dependent variable with a certain ...
1
vote
0answers
15 views

The effect of scale of predictor variables in regression techniques

In polynomial regression, it is recommended to center predictor input variables to break multi colinear relationships of x to x^2. From Wikipedia: The underlying monomials can be highly correlated ...
1
vote
1answer
29 views

Largest or smallest confidence interval at $\pi_{i}=0.5$ in logistic regression

A binomial GLM can be written as: $Y_{i}\thicksim B(1,\pi_{i})$ $\mathrm{E}(Y_{i})=\pi_{i}$ and $\mathrm{var}(Y_{i})=\pi_{i}\times(1-\pi_{i})$ ...
0
votes
0answers
5 views

How to load new data into ntstool in matlab? [on hold]

I am using neural network for time series prediction using ntstool in matlab. But in the tool ,there is an option to load data set from the examples. How to load my data set into the tool? Please help ...
0
votes
0answers
9 views

**Kappa measure in Random Forests** [on hold]

Following is the detailed summary of trained model by Random Forests: ...
2
votes
1answer
23 views

What are the effects of continuity correction in binomial meta-analysis in the metafor package?

The metafor package in R can be used to fit the random effects model with the exact binomial likelihood as described in Stijnen et al. (2010). The ...
0
votes
1answer
29 views

VAR Model- Impulse Response Function Y-axis

I read different papers which try to analyse the relationship between oil and macroeconomics with the help of a VAR model. The results are explained in graphics which show the impulse response ...
0
votes
0answers
10 views

Pivot properties (CB 9.10)

I am looking for help with Casella-Berger question 9.10. The question asks: Suppose that Q(t, $\theta$) is a monotone function of t for each value of $\theta$ in $\Theta$. Show that if the pdf of T, ...
1
vote
0answers
11 views

Temporal Data set

I have a fishery data set of fourteen years in a tropical region. This kind of information is quite rare in ecological studies.The data were monthly collected and the set has 2 annual gaps and a gap ...
0
votes
0answers
26 views

Linear - Quadratic optimization for system of objectives

I have two distinct data sets, $\{x^{\mu},J^{\mu}\}$, $\mu=1,\ldots,n$ and $\{x^{\nu},V^{\nu}\}$, $\nu=1,\ldots,m$ that also include uncertainties $\delta J^{\mu}$ and $\delta V^{\nu}$. In these I fit ...
0
votes
0answers
19 views

Hypothesis testing for skewed data

I have a skewed distributed data in the form of contingency table. Which hypothesis test should i use in this case ? Will chi-square work for skewed distribution ? Any pointers on comparison of ...
2
votes
0answers
23 views

How to forecast (extrapolate) within a (B-)Spline setting

Suppose I observe a random variable $Y$ for a co-variable $p\in\{70,90,100,...,170\}$. My goal is create a forecast of $\mathbb{E}(Y)$ for $p\in\{50,70,...,350\}$, i.e., a wider range of $p$ as ...
2
votes
1answer
38 views

Chi square 2x3 table - Genotypes are related to disease?

I want to conduct a Chi square test of independence. I have three different genotypes (CC/CG/GG, independent variable) and "health conditions" (outcomes) which is basically a patient group with a ...
-1
votes
2answers
55 views

Regression analysis low R2 value - Result interpretation

When I run linear regression on my test data I get the following report: You can find the test data in here. The graph of actual vs predicted looks like: I would like to know if this is fairly a ...
0
votes
0answers
9 views

choose colors in plotcluster R function [on hold]

Can I chose colors for each cluster in the graph when using the 'plotcluster' R function for k means?
-1
votes
0answers
7 views

regression for class variables [on hold]

Suppose i have a dataset "IQ" with variables: iq-Intelligence quotient value, Age, Country, quantitative ability,verbal ability, logical ability. we can say that a person with more score in ...
0
votes
1answer
26 views

Negative cointegration

I am new to the topic of cointegration and my question might be trivial. Let's say $X_t$ is an increasing series and $Y_t$ is a decreasing series; is it possible that they will be cointegrated?
0
votes
0answers
11 views

A Binary Classification to Distinguish two Different Models?

I have two functions, a step function $f(x)$ and an inverse exponential function $g(x)$. Together, they explain virtually all the data when combined as a piecewise function. Some of the data points ...
0
votes
0answers
20 views

Natural logarithm transfomation and zeroes [duplicate]

I am using Stata 13 to estimate a simple regression. Given a rather positive skew of a few of my covariates, I figured to ln-transform the variables. However, I have a substantial amount of zeroes in ...
0
votes
0answers
16 views

Plotting results of mixed design ANCOVA SPSS [on hold]

I conducted a mixed design ANCOVA with group as between subjects factor, trial type as within subject factor, and IQ as a covariate. I'd like to represent the results of the ANCOVA in a scatter plot, ...
0
votes
0answers
29 views

Logistic regression, appropriate method for analysing trend?

If one variable is "year" (range 2009-2014 with equal spaces between) and the other variable is "attitude" (binary, "positive" or "negative"), then which test would you choose for an analysis of ...
2
votes
3answers
73 views

Are there alternatives to the Bayesian update rule?

Are there any other methods to update my belief in a hypothesis aside from the Bayesian update rule?
0
votes
0answers
29 views

What should one know about neural networks?

I heard about people who worked with artificial neural networks for decades and, as a consequence, they have been classified as specialists (or "guru") in artificial neural networks. In contrast, I ...
0
votes
0answers
7 views

Performance of Decision tree and Association rule mining with increasing size of training data

I planning to do misconfiguration identification using some available dataset. So I have two dataset, one with enough number of observations, say from 1000 to 3000 and another one with less than 50 ...
2
votes
0answers
22 views

Bayesian Model For Churn

I need to evaluate how long a customer stays with the company given a retention offer she accepted $r\in\{r_1,\dots,r_k\}$ I'd like to use Bayesian inference for modelling churn. What prior ...
0
votes
0answers
26 views

logistic regression R and Stata [on hold]

I mostly use Stata for my regression analysis. I want to conduct a logistic regression on a proportion/number of success. Because I receive errors in Stata I did not expect nor understand (if there ...
3
votes
1answer
56 views

Most accepted theory to analyse trend in data series

I have pollutant concentration for long period I want to determine trend. I have read some of the question answers in this blog regarding same . I have few queries. What is most accepted theory to ...
2
votes
0answers
12 views

Check hazard proportional assuption in a large coxph

I would like to check hazard proportional assuption in a large coxph. Usually I check it with cox.zph but with large coxph my p-value are very small whereas the log(-log(S(t)) curves are almost ...
0
votes
0answers
24 views

Basic Power test and Power test using ncp do not match

I am referencing 18.5 section of http://www.cyclismo.org/tutorial/R/cholesterol.html ,data is available to download and test. The case study asks to perform a ...
0
votes
0answers
32 views

Sparse features and dimension reduction

Let sparse feature be a feature which values are subsets of some set. For example, the set of countries from which user logged to server is a sparse feature, because for each user we've got the set of ...

15 30 50 per page