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Two-Phase sampling
Ratio Method of Estimation
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Statistical Inference(T)
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Some Important Distributions
Linear Algebra
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Descriprtive Statistics and Elementary Probability
Business Mathematics and Statistics
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PPT
B.Sc Statistics (3-Year Degree)_NEP_2020
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Sem-VI
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Theory (V)
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ODE & PDE's(V)
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Class-VII(CBSE/ICSE Board)
Debjit_Konai's Blogs
Home
Workshop & Seminar
Machine Learning
Supervised Machine Learning
Unsupervised Machine Learning
Semi-Supervised Machine Learning
Reinforcement Learning
Statistics for Machine Learning
Mathematics for Machine Learning
Statistical Programming Using R
Random Number Generations
PDF & CDF
Higher Secondary (XI & XII)
XI(একাদশশ্রেণি)
Statistics
First Semester
Second Semester
Mathematics
First Semester
Second Semester
XII(দ্বাদশশ্রেণি)
Statistics
First Semester
Second Semester
Mathematics
First Semester
Second Semester
E-Content Development/Study Materials
Some Question Papers(Related to Mathematics and Statistics)
Books
CSIR NET
Mathematics
Abstract Algebra
Linear Algebra
Real Analysis
ODE's & PDE's
Complex Analysis
Integral Equation
Metric Space
Topology
Calculus of Variation
Functional Analysis
Operation Research
Numerical Analysis
Statistics
Regression Analysis
Statistical Inference
Applied Multivariate Analysis
SQC
Descriptive Statistics
Reliability
Biostatistics
Design of Experiments
Survey Sampling
Survival Analysis
Probability and Random Variables
Distribution Functions (Discrete & Continuous)
Applications
Programming
C
C++
Python
R
ISS
Spoken English
Gallery
Teaching Materials (Statistics)
Regression Analysis(T)
Survey Sampling(T)
Simple Random Sampling with Equal Probabilities
Simple Random Sampling with Varying Probabilities
Stratified Random Sampling
Systematic Sampling
Cluster Sampling
Two-Stage Sampling
Two-Phase sampling
Ratio Method of Estimation
Regression Method of Estimation
Non-Sampling Errors
Suggested Readings
Statistical Inference(T)
Parametric Inference(T)
Theory
Practicals
Non-Parametric Inferences(T)
Bayesian Inference
Some important Statistical Tests
Descriptive Statistics(T)
Probability and Statistics
Applied Multivariate Analysis(T)
Design of Experiments(T)
Stochastic Process
Some Important Distributions
Linear Algebra
Theory
Practical
Mathematical Methods for Computing
Practical
Descriprtive Statistics and Elementary Probability
Business Mathematics and Statistics
Mathematics(General)
PPT
B.Sc Statistics (3-Year Degree)_NEP_2020
Sem-I
Sem-II
Sem-III
Sem-IV
Sem-V
Sem-VI
Video Lectures
Theory (V)
Regression Analysis(V)
R-Programmings(V)
Python Programming(V)
Statistical Inference(V)
M.Sc Entrance (V)
Higher Secondary(V)
Design of Survey sampling
Practicals(V)
Statistics related problems(V)
Probability Theory and Questions(V)
Mathematics(V)
Real Analysis(V)
Abstract Algebra(V)
Numerical Methods(V)
Complex Analysis(V)
ODE & PDE's(V)
Operation Research(V)
Linear Algebra(V)
Class-VII(CBSE/ICSE Board)
More
Home
Workshop & Seminar
Machine Learning
Supervised Machine Learning
Unsupervised Machine Learning
Semi-Supervised Machine Learning
Reinforcement Learning
Statistics for Machine Learning
Mathematics for Machine Learning
Statistical Programming Using R
Random Number Generations
PDF & CDF
Higher Secondary (XI & XII)
XI(একাদশশ্রেণি)
Statistics
First Semester
Second Semester
Mathematics
First Semester
Second Semester
XII(দ্বাদশশ্রেণি)
Statistics
First Semester
Second Semester
Mathematics
First Semester
Second Semester
E-Content Development/Study Materials
Some Question Papers(Related to Mathematics and Statistics)
Books
CSIR NET
Mathematics
Abstract Algebra
Linear Algebra
Real Analysis
ODE's & PDE's
Complex Analysis
Integral Equation
Metric Space
Topology
Calculus of Variation
Functional Analysis
Operation Research
Numerical Analysis
Statistics
Regression Analysis
Statistical Inference
Applied Multivariate Analysis
SQC
Descriptive Statistics
Reliability
Biostatistics
Design of Experiments
Survey Sampling
Survival Analysis
Probability and Random Variables
Distribution Functions (Discrete & Continuous)
Applications
Programming
C
C++
Python
R
ISS
Spoken English
Gallery
Teaching Materials (Statistics)
Regression Analysis(T)
Survey Sampling(T)
Simple Random Sampling with Equal Probabilities
Simple Random Sampling with Varying Probabilities
Stratified Random Sampling
Systematic Sampling
Cluster Sampling
Two-Stage Sampling
Two-Phase sampling
Ratio Method of Estimation
Regression Method of Estimation
Non-Sampling Errors
Suggested Readings
Statistical Inference(T)
Parametric Inference(T)
Theory
Practicals
Non-Parametric Inferences(T)
Bayesian Inference
Some important Statistical Tests
Descriptive Statistics(T)
Probability and Statistics
Applied Multivariate Analysis(T)
Design of Experiments(T)
Stochastic Process
Some Important Distributions
Linear Algebra
Theory
Practical
Mathematical Methods for Computing
Practical
Descriprtive Statistics and Elementary Probability
Business Mathematics and Statistics
Mathematics(General)
PPT
B.Sc Statistics (3-Year Degree)_NEP_2020
Sem-I
Sem-II
Sem-III
Sem-IV
Sem-V
Sem-VI
Video Lectures
Theory (V)
Regression Analysis(V)
R-Programmings(V)
Python Programming(V)
Statistical Inference(V)
M.Sc Entrance (V)
Higher Secondary(V)
Design of Survey sampling
Practicals(V)
Statistics related problems(V)
Probability Theory and Questions(V)
Mathematics(V)
Real Analysis(V)
Abstract Algebra(V)
Numerical Methods(V)
Complex Analysis(V)
ODE & PDE's(V)
Operation Research(V)
Linear Algebra(V)
Class-VII(CBSE/ICSE Board)
Mathematical Methods for Computing(Theory)
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