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.

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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:

 

TYPE OF STATISTICAL ANALYSIS R 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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