2
votes
0answers
7 views

Identification of navigation pattern (lapping, pacing, random and direct) from X,Y co-ordinate in known physical layout

I have X, Y and Z co-ordinate of the movement patterns of a person for 30 days over some known physical layout. This is unevenly spaced time-series data with maximum frequency of 2Hz while in motion. ...
0
votes
0answers
9 views

Summative likert scale [duplicate]

I am looking for a relationship between two summative likert scale. Each one of them contains 7 items. The scale used for each item consists of 5 points. What is the best tool to use?
0
votes
0answers
17 views

Need a name for a chart [on hold]

How can I call a chart with this approach: I have build a line chart to show the tickets opened, closed and backlog. I have it grouped by months. So in Jun/2015 I have 3 lines showing opened, ...
0
votes
1answer
20 views

How we can select suitable Variance Influence Factor (VIF) critical value to detect collinearity?

In Variance Influence Factor(VIF) we should use a critical value. A rule of for this value is 10. Is this a good value for detecting collinear based one ...
0
votes
1answer
21 views

Forecasting: Turn a basic formula to an ARIMA model

What ARIMA model best represents a formula like this one. I thought that an arima(0,0,0)(1,1,0) or arima(0,0,0)(2,1,0) Would do the trick. But not. Any ...
0
votes
0answers
6 views

Multinomial logistic regression on categorical data results in singular matrix

I have a categorical dataset from a biological sampling study consisting of six variables, see http://pastebin.com/ncLzw0Mt for the actual dataset. ...
1
vote
0answers
10 views

Comparing two data sets for a trend in the data

I have two data sets ( have only access to the statistics of data sets like mean, percentile, count etc but not the data it self). I am interested if I could have a metric which can answer below ...
1
vote
0answers
10 views

Robust Estimators - Winsorized Variance degree of freedom (df)

this is my first question on this site. So, I'm currently working on my final year thesis, and it was on Robust statistics. In my work, I will use Trimmed Mean, Winsorized Mean and Winsorized ...
1
vote
1answer
19 views

Index-variable as an independent variable

In my regression on gdp-growth, I also want to bring in something like a "freedom"-variable, to show how free a country is (press freedom, economic freedom). now there is no number for this, except ...
0
votes
0answers
10 views

Mediation Analysis with many exposure variables

Does it make statistical/modelling sense if I would like to have a mediation analysis with many exposure variables (e.g. X1 and X2) but one mediator (M), where my main interest is about the causal ...
0
votes
0answers
13 views

How to compare latent mean difference from Measurement Invariance with cohen's d from a meta-analysis?

I was wondering if it is possible to compare latent mean differences estimated in a scalar invariance model to an overall Cohen's d found in a meta-analysis. Is there a way to convert one value to the ...
0
votes
1answer
15 views

Forecasting with no seasonality

I have a set of data, let's say average weight of employees, captured every month over a period of 5 years (2010 - 2014). I cannot find a seasonality trend in the data over these years. Also, I have ...
0
votes
1answer
17 views

Functional clustering with R [on hold]

I have a time series data in R, and I am using functional clustering. I would like to interpret a figure that is output below the code. Furthermore, I would like to control line colors and thickness ...
0
votes
0answers
9 views

stepwise discriminant discriminant analysis with r [on hold]

how do a stepwise variable selection before the discriminant analysis, using the Wilks' lambda criterion, with r? can anybody show me the code? thx
0
votes
0answers
6 views

How to estimate a chance of getting in the first positions, given previous tries?

I perform a series of experiments that return a number N that is between 1 and MAX. MAX varies between experiments. For example: ...
1
vote
1answer
29 views

What value does one set, in general, for the null hypothesis of β0 in a linear regression model?

Say there is a linear regression model to estimate Y, that is: $Y_i = B_0 + B_1X_i + u$ When testing the significance of your sample regression model the null hypothesis for $B_1$ would naturally be ...
0
votes
0answers
22 views

Cluster analysis in uniform data

I have 261 vectors with 9 attributes. Each attributes contains numbers between 0 and 1. I am not sure what the most appropriate clustering method for this kind of data is. Initially, I used the ...
0
votes
1answer
7 views

How to group data into already known centers of clusters in R?

I have a table of GPS data and I need to associate each record to the closest from a list of locations. It's like doing clustering but I already have the centers of the clusters.
1
vote
0answers
12 views

Can random forest be applied to predict an event rate for a time interval, for the following problem statement?

I have to predict which of the agents (in a direct selling business) could become sales leaders. This prediction has to be done just before every sales cycle (there are 2 week cycles across the year, ...
0
votes
0answers
5 views

Could someone outline the pros and cons of the mlogit{mlogit} versus the multinom{nnet} functions for modelling multinomial logistic regressions in R?

I am trying to make an informed decision about which of the mlogit and multinom functions, in the mlogt and nnet packages respectively, I should use for a multinomial logistic regression model. I do ...
0
votes
0answers
15 views

Is it possible to create a Bayesian network from a state diagram? [on hold]

I have a state diagram and I want to create a Bayesian network from it. How can I do this?
0
votes
1answer
12 views

GAM summary F values

Does anyone know how the F values are computed in summary(gam.object). I've looked through the help page, and the gam package, ...
0
votes
0answers
7 views

Statistical difference between the different types of PRBS, PN sequence and their application in signal processing

A real valued time series can be converted into binary series through the process of clipping. Clipping, or hard limiting, a time series is transforming a real valued time series Y into a binary ...
0
votes
0answers
7 views

matching methods when treated group is much larger than untreated group

I have a treatment group with Nt = 2000 and an untreated group with Nu=500. I want to perform propensity score matching/weighting (PSM). It seems like the common matching methods have serious flaws ...
0
votes
0answers
6 views

mahout kmeans class not found exception [on hold]

I have configured Hadoop in Psuedo-Distributed mode. I have succesfully created sequence-files and tf-idf vectors(using seq2sparse) and am trying to run mahout kmeans from command-line as follows: ...
0
votes
0answers
7 views

Question on Texture similarity measures

I was wondering whether there is a similarity measure between a discrete image or texture image and a continuous image? I have two images one is discrete (it can be a texture also) and the other is ...
0
votes
0answers
10 views

What techniques infer dependencies between time series?

I'm working on an ML project. We have an app where users can track 1) binary variables and 2) quantities over time on a scale from one to ten. For example, at a given time they may track whether they ...
0
votes
1answer
5 views

Total effects read the same in mediation analyses

I was trying to conduct a mediation analysis to assess the effects of three different mediators between the IV and the DV. However, despite the a paths, b paths and c' paths being different for all of ...
1
vote
1answer
31 views

Implementing bayesian networks in python for gaze estimation using visual saliency

I am developing an appearance based gaze estimation system based on opencv and python. I have currently developed a prototype which can estimate the gaze based on active calibration, which is ...
0
votes
0answers
8 views

How should I combine this binary scale with a 4-point scale?

I'm doing a meta-analysis and I want to combine the results of two questionnaires. One questionnaire has 30 questions about whether you've experienced certain traumatic life events. They're all ...
0
votes
0answers
10 views

VC Dimension of the set of canonical hyperplanes

This is a proof of the theorem about VC Dimension of the set of canonical hyperplanes from Professor Mohri's lecture slide. I'm having difficulty with understanding the inequality$$ \forall i \in ...
0
votes
0answers
5 views

mean and standard deviation of a population [on hold]

you are given a sample of a temperature in one month in the city over the past hundred and thirty years. three days it was 50 to 59 degrees 307 days it was 60 to 69 degrees 1439 days it was 70 to 79 ...
0
votes
0answers
10 views

Prerequisites for time series and ARIMA

I am working on forecasting sales for 2016. The details of the problem is: 2014 - sales happened only between Jan-Apr 2015 - Sales happened only between Jan-Apr The sales in rest 8 months of the ...
0
votes
0answers
18 views

Upcoming areas in theoretical Bayesian Machine Learning [on hold]

I will soon be going for a postdoc position at a new university. One thing that the panelist asked me to think of is if I were to start, what would I work on. Now the thing is so far with my PhD ...
0
votes
0answers
7 views

Missing block (Multilevel Modelling, repeated measures)

Experiment: participants respond to a moving object. Explanatory variables: velocity of object (fast, slow), Type of object (A,B). There are four different types of blocks, each with 16 trials: ...
0
votes
0answers
14 views

Advanced Method in Machine Learning to Learn Objects Position

I have done research about tracking of human body, face, hands, pedestrian etc. Can you point me to the methods in machine learning that learn the changes in position of multiple objects for object ...
0
votes
1answer
28 views

Calculating force of mortality from life table

The force of mortality at age $x+t$, given survival to $x+t$ is given by $\mu_{x+t}$ $=-\frac{d}{dt}[ln({}_{t}p_{x})]$ Given a life table I know how to calculate ${}_{t}p_{x}$, but then how can I ...
2
votes
0answers
18 views

Comparison of Bernstain and Chebyshev inequalities applied to Bernoulli distribution - simulation in R gives unexpected results

I'm trying to compare Bernstein and Chebyshev inequalities applied to Bernoulli distribution with parameter $p$. More specifically - how good are bounds they give for different sample sizes. I wrote ...
-1
votes
0answers
21 views

Weak classifier with Naive Bayes

I am trying to train weak classifiers from a specific data set, so I can boost them later on(with Adaboost). I have tried using Naïve Bayes as a weak learner. Here D1 is the expected output. Since ...
0
votes
1answer
9 views

How do I perform a Wald Test with multivariate Granger Causality Analysis

I am doing a Granger Causality Analysis for three economic variables (GDP, CO2 emissions and Total Energy Consumption) of Puerto Rico. I am using a Toda-Yamamoto Procedure implemented in R R. I am ...
0
votes
0answers
8 views

Error bars from a set of points at different x values [on hold]

Say I have a set of 4 data points all at different x values. They fall approximately on a line, with fairly small noise. How can I estimate the standard deviation, or some reasonable measurement of ...
0
votes
0answers
7 views

birnbaun saunders regression model [on hold]

i am running a birnbaun saunder (BS) regression model. My response variable is amount( in dollars) and my predictor variable is operational time ( in %). please which code will i use to generate it ...
0
votes
1answer
14 views

gam models with random effect R

I am modeling fishery CPUE as a function of a number of a number of covariates using a GAM approach that includes fixed and random effects. I understand that there are limitations with regards to ...
0
votes
0answers
27 views

Is it appropriate to use t-tests to find the most different outcomes?

I have a large CSV file of spending by individuals on different drugs. I want to find the drugs with the most different spending patterns by gender. The file looks a bit like this, but with 7.5k ...
0
votes
0answers
15 views

What does the sigma^2 figure mean when fitting a model to a time series in R?

I have a time series in R, and I am using the arima function to fit it to a SARIMA model. I would like to use the parameters it returns to write the time series equation by hand, but in order to do ...
0
votes
0answers
18 views

What is the best way to extract time-series shared by two variables?

I have one dependent and several independent variables. I want to extract the time-series of the independent variable that is shared with the dependent variable. In other words, I want to extract only ...
1
vote
1answer
21 views

Generating 2D different shapes with same mean and covariance matrix

Im trying to reproduce the synthetic data used in this article. The authors claim the data was generated from densities with the same mean and covariance matrix. Is there any principled way I to ...
3
votes
2answers
103 views

Adjustable sample size in clinical trial

Most clinical trials I see have a fixed sample size. In some cases they have prior data that allows estimating the effect size and the variance or distribution of values, and calculate the sample ...
1
vote
0answers
16 views

Find bins for observations where each bin has similar mean

I have 100000 observations with two variables on each, age on the range of 18-80 and interactions on the range of 1-1500. I want ...
4
votes
2answers
48 views

Analyze trend given a set of points

Suppose I have a set of N values representing EUR/USD rate... [ 1.10 , 1.20 , 1.25, 1.20, 1.19 ] Which is the simplest way for analyzing if values tend to raise or tend to fall? I'm looking for a ...

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