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My scientific page

My Research Interest:

  • Robust Statistics

  • Nonlinear regression

  • Mixed Models

  • Time series

  • Matrix Algebra and Multivariate Statistics

  • Statistical Computing

My tought Courses

Course materials is avilable in My Courses Page, for students.

  • Multivariate Statistics, Master level, Department of statistics stockholm university, Autumn 2013

  • Statistical computing, Master level, Department of statistics stockholm university, Spring 2012, 2013, 2014

  • Statistics for management, Lamerd University, 2006-2012

My Active Courses

Advanced Statistics for ManagementAdvanced statistics for management, Science research Marvdasht, Mehr 93 Master Level
Statistics for Soil science and AgricultureAdvanced Statistics for Soil science and Agriculture, Master Level, Mehr 93, Science research center.
Statistics for Sport ScienceAdvanced level, Master, Mehr 93, Science and research fars
Time Series 2Advanced Master Level, Shiraz Payam Nour, Mehr 93
Statistics for Management 1 BachelorStatistics 1 for management. Lamerd Univ, Mehr 93
Statistics for Management 2 BachelorManagement statistics 2, Lamerd, Mehr 93
Statistics for computer, technicalComputer statistics, Lamerd Univ, Mehr 93
Statistics for Civil engenearingCivil engineering statistics, Mehr 93, Lamerd University
Simulation, Bachelor in statisticsSimulation, shiraz payam nour university, mehr 93
Calculus 2 for EngenearingMathematics 2 for engenearing, Civil engenearing, Lamerd University Mehr 93
Statistics for engineering 3 unitEngenearing Statistics 3 unit, Lamerd Mehr 93, monday 7-10 pm
Test classtest class
UPM R structured programming language, with some examples in statistical computingThis workshop tries to present R language as a Structured programming language. This gives the audiences a deeper knowledge to solve programming problems. Statistical computing is wide area that can cover all statistical topics, such as Linear models, parameter estimation, inferences, simulation, Markov Chain Monte Carlo, Bootstrap, Time series, Bayesian statistics, Multilevel modeling, Mixed models, EM-Algorithms, and all other statistical problems. Discussing all topics in this short workshop is impossible but to illustrate the statistical computing problems, some numerical methods such as optimization are combined with statistical computing problems like maximum likelihood. UPM Jan 2015
449 Statistical Methods 3u Lamerd 2nd sem 93Statistical Method 3 unit, Lamerd U, Tuesday 10-1 course code 449
379 Statistics for Bachelor of Accounting Lam 2nd sem 93course code 379 Statistics for Bachelor of Accounting Lam 2nd sem 93
403 Statistics and Probability for engenearing 2nd sem 93 LamStatistics accounting, 2nd sem 93, Lamerd monday 10-13 course code 308 403
1368 Statistics for management 2, 2nd sem 93 LamStatistics for management 2, 2nd sem 93, Lamerd, course code 1368, Lamerd monday 17-20
Education BachelorStatistics for education, Bachelor, 2nd sem 93 Marvdasht university, Thursday 130:30-15:15
Advanced Statistics Education MasterAdvanced Statistics Education Master. Marvdasht U, 2nd sem 93. thursday 15:15
Education SPSS Workshop Master LevelEducation SPSS Workshop Marvdasht University, 2nd sem 93 Master Level
308 statistics engenearing electric308 statistics for electicity and civil engenearing monday 12-14 room 801
1176 computer statisticsComputer statistics
Statistics for education master 221003_216 lamerd mehr 64
Statistics coomercial 1077lamerd master mehr 94
Statistics accounting 561 lamerd mehr 94
Statics master education 371lamerd mehr 94
Statistics management 1078lamerd mehr 94
statistics for marketing 1096friday lamerd university, mehr 94
Basic statistics sport 2122introductory statistics for master of sport science mehr 94
marketing 1semester 2 94 code
Stat Management 1217Stat management 12 17
Statistics and probability technical 1060Statistics and probability technical computer 1060
Statistics education 173education bacheloer 173, bahman 94 lamerd
statistics method 2 education 351statistical methods 2 for education 2nd sem 94
Calculus 7-688Calculus, mathematics 7 lamerd 2nd sem94
Compiter workshop 355Statisrics computer workshop education, 2nd sen 94
Basic Statistics 1526Basic Statistics 1526 Master of Sport Physiology 1st sem 95 lamerd University
Advanced Statistical Inference 845Advanced Statistical Inference 845 Master of human management 1st sem 95 Lamerd University
Advanced Statistics 349Advanced Statistics 349 for Financial Management Lamerd 1st sem 95
Statistics and Probability for enginearing 1962Statistics and Probability for enginearing 1962. Bachelor 1st sem 95 lamerd university
Statistical Inference 1720Statistical Inference 1720 Master of Marketing 1st sem 95 Lamerd University
Statistical Inference 1730Statistical Inference 1730 Master of Marketing 1st sem 95 Lamerd University
Statistical Methods 1- 1081Statistical methods 1- 1081 Master of education lamerd university 1st sem 95
General Mathematics 2- 2051General mathematics 2- 2051. Bachelor 1st sem lamerd
Statistical analysis 1762Statistical analysis for buisness management, 2nd sem 1395 Lamerduniversity
Application of statistics oneducation programming 329Application of statistics in educationprograming, 2nd sem 95 lamerd univ Phd
Engenearing statistics and probability 2063Statistics and probability for engenearing 2nd sem 95 lamerd univ
Pre math 1321Pre math 1321 lamerd univ
Mathematics 2- 2052Mathematics 2 code 2052 second sem 95 lamerd univ
Statistics 2. 378Statistics 2 for education 378 second sem lamerd univ
Management statistics 255Management statistics 255 second semester 95 lamerd univ Masterlevel
Pre math 642Pre math 642 second sem 95 lamerd univ
Statistics 1-385Statistics 1, master level, code 385, lamerd university, second sem 95. for education students
Statistics and probability 1411Statistics and probability for computer science, lamerd univ 1st sem 96-97
Statistical Inference 1559Statistical Inference Master Level, 1559, 1st sem 96-97
Statistics Accounting 820Statistics for Master of accounting, 1st sem 96-97 Lamerd university
Sport Pysiology Statistics 1483Sport Pysiology Statistics 1483 1st sem 96-97 Lamerd university
Statistics education management 2404Statistics for education management 2404 Master Level, 1st sem 96-97 Lamerd University
Pre Mathematics 637Pre mathematics 637 1st sem 96-97 Lamerd University
Engenearing statistics 1649enginearing statistics 1649 1st sem 96-97 lmerd univ
statistical methods for eduction 251statistical methods for eduction 251 1st sem 96-97 lamerd university
Pre mathematics 654Pre mathematics 654 1st sem 96-97 lamerd university
Engenearing statistics and probability 1763Enginearing statistics 1763 1st sem 96-97 lamerd university
Enginearing software workshop 1384Software workshop for enginearing 2nd sem 1396 lamerd univ
Pre math 1345Pre math 1345 2nd sem 96 lamerd univ
Statistics and probability 1215Statistics and probbaility for technology 2d sem 96 lamerd university
spss workshop 310Computer workshop in management 310 2nd sem 96 lamerd university
Pre mathematics 961Pre mathematics 961 2nd sem 1396 lamerd university
Pre mathematics 1780Pre mathematics 1780 sec sem 96 lamerd university
Pre mathematics 1726Pre mathematics 1726 2nd sem 96 lamerd univerity
Statistics education 2-423Statistical methods 2 for education 423 2nd sem 1396 Lamerd university
ُStatistics for Curriculum planing 404ُStatistics for Curriculum planing 404 Ph.D level lamerd university 2nd sem 96
SPSS workshop 424SPSS workshop 424 2nd sem 96 Lamerd university

Computer skils

  • OOP programing in R and SPLUS area

  • Matlab, statistics and matrix programing

  • web design (this website as an example), VB.

  • SQL server data base design (this website and our consulting page)

  • Databases with ACCESS, Foxpro

  • SPSS, pythone plugin programing

  • SAS, speciallized in SAS/IMLpro

  • PL/I and Fortran

Statistical Consulting

Here is only a short list and example of research consulted for other areas of science.

Files will be accessible soon.

Select the research title to display.

Master Research: Truncated data
Let X, Y, be two positive random variable, the generic random variable X, is left truncated by truncation variable Y, (or X is right truncated by X), if the vector (X,Y) can only observed when X>Y

Dynamic R-Charts Here

For using my consulting services see our online statistics consulting page