Statistics Assignment Help

Statistics is the study of the collection, organization, analysis, interpretation, and presentation of data. It deals with all aspects of this, including the planning of data collection in terms of the design of surveys and experiments.

A distinctive feature of our offering is the interactive session which we can schedule between you and the expert. You may specify the output format, referencing, formatting, timelines etc to the expert. Make payment only after you are absolutely sure about what to expect and by when.

We at Assignmentpedia are capable of providing best Statistics assignments / homework help with the use of latest softwares and statistical tools for data analysis like:

  • SPSS
  • Stata
  • Minitab
  • STATDISK
  • PHStat2
  • MS Excel
  • Matlab
  • Mathematica
  • R code and S-Plus
  • Tree Plan
  • MegaStats
  • POM/QM
  • SAS

  

Stats is surely a vast field of study, which includes some of the following topics:

 

Below table will give you an idea of the comprehensive list of topics and what all can be done in which Statistical Software:

 TYPE OF STATISTICAL ANALYSIS  MATLAB SAS  STATA   SPSS
           
 Nonparametric Tests  Yes  Yes  Yes  Yes  Yes
 T-test  Yes  Yes  Yes  Yes  Yes
 ANOVA & MANOVA  Yes  Yes  Yes  Yes  Yes
 ANCOVA & MANCOVA  Yes  Yes  Yes  Yes  Yes
 Linear Regression  Yes  Yes  Yes  Yes  Yes
 Generalized Least Squares  Yes  Yes  Yes   Yes  Yes 
 Ridge Regression  Yes  Yes  Yes     
 Lasso  Yes  Yes  Experimental     
 Generalized Linear Models  Yes  Yes  Yes  Yes  Yes
 Mixed Effects Models  Yes  Yes  Yes  Yes  Yes
 Logistic Regression  Yes  Yes  Yes  Yes  Yes
 Nonlinear Regression  Yes  Yes  Yes     
 Discriminant Analysis  Yes  Yes  Yes   Yes   Yes 
 Nearest Neighbor  Yes  Yes  Yes     Yes 
 Factor & Principal Components Analysis  Yes  Yes  Yes  Yes  Yes
 Copula Models  Yes  Yes  Experimental    
 Cross-Validation  Yes  Yes  Yes     
 Bayesian Statistics  Yes  Yes  Limited    
 Monte Carlo, Classic Methods  Yes  Yes  Yes   Yes   Limited
 Markov Chain Monte Carlo  Yes  Yes  Yes     
 Bootstrap & Jackknife  Yes  Yes  Yes   Yes   
 EM Algorithm  Yes  Yes  Yes     
 Missing Data Imputation  Yes  Yes  Yes   Yes   Yes 
 Outlier Diagnostics  Yes  Yes  Yes   Yes   Yes
 Robust Estimation  Yes  Yes  Yes   Yes   
 Longitudinal (Panel) Data  Yes  Yes  Yes   Yes   Limited
 Survival Analysis  Yes  Yes  Yes   Yes   Yes 
 Path Analysis  Yes  Yes  Yes     
 Propensity Score Matching  Yes  Yes  Limited     
 Stratified Samples (Survey Data)  Yes  Yes  Yes   Yes   Yes 
 Experimental Design  Yes  Yes      
 Quality Control  Yes  Yes    Yes   Yes 
 Reliability Theory  Yes  Yes  Yes   Yes   Yes
 Univariate Time Series  Yes  Yes  Yes   Yes   Limited
 Multivariate Time Series  Yes  Yes  Yes   Yes   
 Markov Chains  Yes  Yes      
 Hidden Markov Models  Yes  Yes      
 Stochastic Volatility Models  Yes  Yes  Limited  Limited   Limited 
 Diffusions  Yes  Yes      
 Counting Processes  Yes  Yes  Yes     
 Filtering  Yes  Yes  Limited   Limited  
 Instrumental Variables  Yes  Yes  Yes  Yes   
 Simultaneous Equations  Yes  Yes  Yes   Yes   
 Splines  Yes  Yes  Yes     
 Nonparametric Smoothing Methods  Yes  Yes  Yes   Yes   
 Extreme Value Theory  Yes  Yes      
 Variance Stabilization  Yes  Yes      
 Cluster Analysis  Yes  Yes  Yes   Yes   Yes 
 Neural Networks  Yes  Yes  Yes     Limited
 Classification & Regression Trees  Yes  Yes  Yes     Limited
 Boosting Classification & Regression Trees  Yes  Yes      
 Random Forests  Yes  Yes      
 Support Vector Machines  Yes  Yes      
 Signal Processing  Yes  Yes      
 Wavelet Analysis  Yes  Yes  Yes    
 ROC Curves  Yes  Yes  Yes   Yes   Yes 
 Optimization  Yes  Yes  Yes     

 

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