Publications by Muhammad Mutasim Billah
Collection of R Codes from my ISRT time
Table of contents AST 230 Incourse Solve 2020 2019 Final Solve 2019 2020 AST 231 Lectures Probability Distribution Sampling Distribution & CLT Unbiasedness Least Square Estimates MLE CI Test of Hypotheses Anova Independence Distribution Fitting AST 232 Design CRD-19 Contrast RCBD LSD BIBD Contrast Sampling Stratified Assignment 01 Assi...
16219 sym R (99456 sym/694 pcs) 57 img 12 tbl
Project Presentation
class: left middle ## Recurrent Neural Network Model<br>for Weather Forecasting<br>Using ISRT Weather Data .right[ ### <br>Md Mutasim Billah .large[Class Roll: SH-033-030<br>Session: 2022-23<br>Institute of Statistical Research and Training<br>University of Dhaka]] .right[ .large[13 February 2024]] --- ## .center[Overview] .centermid...
8289 sym
Introduction to Xaringan
class: title-slide left top background-image: url(data:image/png;base64,#img/tea1.jpg) background-size: cover # .white[<br>Introduction<br>To Xaringan] ## .white[Mutasim Billah] --- .center[ ## What is Xaringan? ] -- .pull-left[ .center[<br>**JavaScript** <br>**CSS** <img src="data:image/png;base64,#https://raw.githubuserconten...
7166 sym
First of Many [xaringan presentation]
class: center, middle, inverse, title-slide .title[ # HOUSEHOLD INCOME AND EXPENDITURE SURVEY ] .subtitle[ ## HIES 2022 ] --- ## HIES <pre> </pre> - It is the standalone survey in Bangladesh to provide the reliable and credible estimate of poverty and its correlates. -- - This survey provides valuable data on household income, e...
19032 sym
R codes ISRT
AST 230 Incourse Solve 2020 1st Incourse Question no. 01 rm(list = ls()) #a samp<-rpois(n = 500,lambda = 2) summary(samp) ## Min. 1st Qu. Median Mean 3rd Qu. Max. ## 0.000 1.000 2.000 1.922 3.000 7.000 min(samp) ## [1] 0 max(samp) ## [1] 7 mean(samp) ## [1] 1.922 var(samp) ## [1] 1.967852 #b hist(samp) Question n...
12366 sym R (64695 sym/572 pcs) 37 img 12 tbl
ISRT Notes - AST 230
AST 230 Incourse Solve 2019 2nd Incourse Question no. 01 rm(list=ls()) attach(trees) par(mfrow = c(2,2)) plot(Girth, Height) plot(Girth, Volume) hist(Volume) boxplot(Volume) detach(trees) Question no. 02 The swiss data set is built in R as a built in resource. Recode the variable Infant.Mortality into four categories- the values up...
2959 sym R (4273 sym/58 pcs) 2 img 4 tbl