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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:

 

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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