# Regression analysis eviews jobs

forecasting volatility of turkish lira against us dollar, euro, and using **eviews** with GARCH, EGARCH and GJR GARCH modelling

...the Research
Research Questions
Data **Analysis**
Current level of research skill & Area of Support
References
the research should be both qualitative and quantitative
Topics:
Islamic Banking
- Risk Assessment Models on modelling liquidity risks
- Proficiency in banking regulations
- Risk Management Risks
- **Regression** knowledge
- How bank use models to

Need to program, otherwise, too much work. Make plots and clean data and **regression**.

I need help with **analysis** of statistics datasets, using **regression** models, confounding, effect modification, time series **analysis** and further developed detailed **analysis**. Familiar with possible bias and errors explanation regarding study design. Max. size 5 pages per assessment. Work in Stata or R.

...statistics and **analysis** that is also able to write a few paragraphs for each statistical test interpreting the results.
There may also be some data entry.
You must have experience with SPSS and the following statistical tests: raw frequencies and adjusted odds ratios (OR) with 99% confidence intervals (CI), logistic **regression** **analysis** WHILE accounting/adjusting

...least 2 years experience doing QA in software development projects (web and mobile)
-Strong knowledge in software QA methodologies, tools and processes (functional, smoke, **regression**)
-Experience in agile methodology
-Excellent communication and documentation skills
-Can write test plans
-Can work under minimal supervision and can attend daily scrum
-Experience

...you.
I have a panel dataset and I want to use time fixed effects **regression** to estimate a model and forecast values with the fitted model. My panel data is unbalanced and has 40.109 rows and 25 columns, although a lot of observations are NaN (no observations). I have 3 different **regression** models with an A and B version which I fit on the data to assess

Multiple **regression** **analysis** to test the hypotheses (Cohen et al. 2003). To avoid problems with multicollinearity, we mean-centered the exogenous variables, as Cohen and colleagues (2003) recommend. The variance inflation actors indicate that multicollinearity is not a threat to the conclusions of the study. To test for the relative magnitude of the

Hey Guys,
I have an urgent project !
As more flexible and fas you are, the better your chances.
WHAT YOU SHOULD DO
A simple data **analysis** needs to be done with econometric software (Matlab, Stata or R)
(Please see the attachments: DataSet and detailed project and work description is attached)
Model: One dependent variable (3), two independent variables

...and Derivative commodities in Agriculture space. The model should cover entire flow of Instrument valuation, various Hedge Effectiveness testing - Dollar Offset, Linear **Regression** and generation of A/C Entries based upon Cash Flow and Fair Value Hedge. The A/C Entries should include bucketing of OCI & PnL accounts. More information can be discussed

Hi All,
I need 2 images for some slides. The topic is about UI **regression** and how something great can become something with the same elements, but now be not so great.
I would like both images to be of a super sonic rainbow powered unicorn (or alicorn/pegacorn). The unicorn in both images needs to be obviously the same animal.
Impressions

...to implied by the betting market goal and win supremacy. Then model should look back over the season's games for each football league and use (probably?) standard linear **regression** techniques to come up with a set of rankings that are most consistent with the derived before goals and supremacy values for those games
Here's a good explanation of what

...appreciated by readers somehow also rated by web visitors, should show green highlighted text "trusted review".
7. Sort by many 50+ attributes , sort by trusted r-**eviews**, popular r-**eviews**, new craft beers, sort by country, by taste, by hangover feeling (low, med, big), sort by price, by millilitres ex. 330ml, 341ml by 500ml and another attribute to

...and E are unnecessary and extraneous, and I don't wish to have them in the final Python script, unless they are necessary.
Recreation of pandas now-deprecated rolling() **regression** functionality for multivariate linear regressions.
I believe this has been deprecated, but it appears still listed in the pandas documentation. If it is still functional

We need a Python script to take in any given dataset (meaning either a **regression** task or a machine learning task) and select features according to four feature selections algorithms which will be provided.
We are expecting the following:
df_raw
df_one
df_two
df_three
df_four
where df_raw is what we provide and df_one...df_four are the dataframes you

...and E are unnecessary and extraneous, and I don't wish to have them in the final Python script, unless they are necessary.
Recreation of pandas now-deprecated rolling() **regression** functionality for multivariate linear regressions.
I believe this has been deprecated, but it appears still listed in the pandas documentation. If it is still functional

Looking for Python programmer for Machine learning implementation. Minimum Experience 6 months. Simple implementation of Basic Algorithms. Like SVM, Linera **Regression**, Random Forest **Regression**

Business Problem - Company collected data from 5000 customers. The objective of this case study is to understand what's driving the total spend of credit card(Primary Card + Secondary card) Prioritize the drivers based on the importance.

Company collected data from 5000 customers. The objective of this case study is to understand what's driving the total spend of credit card(Primary Card + Secondary card) Prioritize the drivers based on the importance. There are several KPIs driving the expenditure like age group, income, gender, cardtyoe

Looking for a person who is familiar with Stata and **EViews**, who is capable to use the international capital asset pricing model (CAPM) and do VAR, ADF, GARCH, ARCH tests. The methodology of the similar work is attached. It is needed to use the same methodology for BRICS countries

need some modification of attached standard tflearn code to 1. target variable is column 1 2. 17 variables to predict column 1 3. divide csv data into train and test (80/20) 4. stop model when acceptable R2 reached 5. prediction of column 1 from other 17 variables

...Forecast real estate rental prices in Paris using 6500 data points. Data will be given.
2. Use the best forecast model (preferably machine learning model) like Gradient Boosting **Regression**
3. You can use any language to code the model.
4. The model will be based on the data stored in a mysql database. And this forecast code will be used on a website for users

...To detect if the bugs are historical or new.
2. There are roughly 50 columns stating different things, in particular there is a column called **Regression**, which has two values Y or N. If the value, in **regression** column is Y, then there is a defect and the same could be a severe defect, which needs to be fixed immediately, if it is N, the same can be shared

I need help in the mathematical approach to remove independent variables

Two **analysis** needs to be run - a step wise **regression** (200 obs.) and a Diff in Diff **analysis** (18 obs)...
The stats have to be written up and the charts have to be created in R
That is the job

...1) Clean up data sets - delete incomplete rows and invalid answers.
2) Present all in tables / graphs (Q by Q).
3) Lite statistics (on a few questions only) - multiple **regression** and/or correlate certain variables (e.g. reported income with energy expenditures).
4) 1 page summary with highlights per segment/questionnaire.
5) Per questionnaire: tables/graphs

...application should be created using Django
2. User should be able to upload the excel sheet which he requires
3. Back end it should integrate or read with Python and run all the **regression** and classification techniques and generates the output into a sheet
4. User should be able to download the result sheet
5. When the project is deployed for a while and making

...shared computer on Data **analysis** in regard to purposeful selection of variable algorithm as described by 1. Hosmer and Lemeshow - Applied ogistic regresson - Third Edition( Chapter 4-model building strategies and and methods for logistic **regression** pages 90-93; 2. Bursac et al; purposeful selection of variables in logistic **regression**. Source Code Biol Med

Working with top US bank for past 3 years. Work includes **Regression** Modelling as well as machine learning Modelling. My skill includes SAA, SQL, VBA, Unix

...interfaces like APIs, websockets and web scraping approaches into a google sheets spreadsheet and analyse it within Google Sheets with different types of data-**analysis** approaches like linear **regression**, moving averages and others.
This will be an ongoing job based on Milestones Briefings and Milestone payments.
Your proposal should be based on the following

...Understanding and analyzing the requirements
- Testing various modules of an application.
- Preparing a Test Suite of Sanity, Functional, **Regression** and Acceptance testing.
- Performed: Functionality Testing, **Regression** Testing, GUI Testing, cross browser testing, Boundary Testing, Validation, Component testing, Integration testing, System Testing,Black

Test item writing, item reviewing, job **analysis**, test validation, item **analysis**, statistical **analysis**, **regression** **analysis**, correlations, google sheets, excel sheets and formulas, remote work, research experimentation, javascript, and/or other coding languages is a plus.
This is an ongoing project. A background in psychometric test development, industrial

I have a series of statistics question which requires expert knowledge of subject topics such as Probability, Hypothesis testing, **Regression** and data **analysis**. additionally, I require expert knowledge of Excel for data as well.

...given. It's important to understand that prediction and learning are two operations which are performed at separate times.
As far as I can determine this is a supervised - **regression**, deep learning neural network scenario but if you have some other idea to do this better let me know. I would like to have as many hidden layers as my pc can still function

I am looking to compare outcomes from two groups of patients....ratio)
Then I would like to do univariate and multivariate **analysis** + logistic **regression** to determine the contribution of risk each variable to the outcome
(around 5000 cases)
This needs to be done using SPSS. Tests used are fishers exact, pearsons chi squared and logistic **regression**

My objective is to Identify the correlation between the macro-environmental factors and the outcome of the airports under different ownership models.

Hey,
Help with R programming.
I want someone who can start right away
So basically I need the output of the logistic **regression** model to have coefs,odds ratio, p vlaue , ROC curve

1. One-way ANOVA (Comparison of Several Means)
2. Simple linear **Regression** (SLR):
3. Multiple Linear **Regression** (MLR):
4. Factorial Experiment (Multi-factor studies)
5. Design of Experiments
6. Non-parametric and Categorical **analysis**

1. One-way ANOVA (Comparison of Several Means)
2. Simple linear **Regression** (SLR):
3. Multiple Linear **Regression** (MLR):
4. Factorial Experiment (Multi-factor studies)
5. Design of Experiments
6. Non-parametric and Categorical **analysis**

1. One-way ANOVA (Comparison of Several Means)
2. Simple linear **Regression** (SLR):
3. Multiple Linear **Regression** (MLR):
4. Factorial Experiment (Multi-factor studies)
5. Design of Experiments
6. Non-parametric and Categorical **analysis**
need to answer all the questions based on this concept

...do:
1) Clean up data sets - delete incomplete rows and invalid answers.
2) Present all in tables / graphs (Q by Q).
3) Lite statistics (on a few questions only) - multiple **regression** and/or correlate certain variables (e.g. reported income with energy expenditures).
4) 1 page summary with highlights per segment/questionnaire.
5) Per questionnaire: tables/graphs

Looking for someone who can help me to analyze the performance testing, test app on number of devices using AWS device farm or similar platform
Stress Testing
Suggest i...can help me to analyze the performance testing, test app on number of devices using AWS device farm or similar platform
Stress Testing
Suggest improvements
Security holes
**Regression**

...using these following method below.
Project Requirements
Classified the both type of images, by using following type of method. Normal and effected images
[1]. Logistic **Regression**
[2]. SVM (support Vector machine)
[3]. LR+SVM
[4]. CNN (Convolutional Neural Network) but in this you cannot use Alexnet, GoogleNet, VGG, you can only use some other method

The project is analysing the results for 5...(preoperative, intra-operative and postoperative). It will require bland altman plots to compare the means of several of the data and time points. Finally a linear **regression** **analysis** needs to be performed to see if the final postoperative results can be predicted with the pre and intra-operative results.

Using matlab to deal with files (csv or xlsx), and then make plots required by me. Like **regression** plots, calculate difference, etc.

Hi! I am an academic research consultant looking for talented people in research writing domain for long-term association. A postgrad...writing domain for long-term association. A postgraduate degree in management/ economics and experience in academic writing is a must. Knowledge of softwares like SPSS, stata, **eviews** and R would be an added advantage.

Complete end to end testing including functional, UI, **regression** testing

This is proje...channel built to ingest any standard HL7 v2 interface messages from the correlating with outbound specification guides that will be provided.
2. Clearly written (English) **regression** test scripts for each interface channel built.
3. Each message type will require sets of example HL7 test files.
Please take your time, and ask questions.