Mathematical Statistics for Data Science

سرفصل های دوره

An introduction to mathematical statistics for data science, covering method of moments, maximum likelihood, and more

1 - Introduction

1 - Course Introduction

2 - Probability Distributions

2 - Probability-Distribution-Notes.pdf

2 - Random variables PMFs and PDFs

3 - The Bernoulli Distribution

3 - bernoulli distribution wikipedia.zip

4 - The Uniform Distribution

4 - uniform distribution wikipedia.zip

5 - The Normal Distribution

5 - normal distribution wikipedia.zip

6 - Probability Distribution Recap

3 - Expected Values

7 - Expected-Value-Notes.pdf

7 - Sample mean and Expected Value

7 - expected value.zip

8 - Bernoulli Distribution Expected Value

9 - Uniform Distribution Expected Value

10 - Normal Distribution Expected Value

10 - proof of the mean of normal distribution using calculus.zip

11 - Expected Value Recap

12 - Expected Value Practice Problems and Solutions.html

12 - Expected-Value-Practice.pdf

4 - Estimators and the Method of Moments

13 - Estimators and the Method of Moments

13 - MOM-Notes.pdf

14 - Bernoulli Distribution MOM

15 - Uniform Distribution MOM

16 - Normal Distribution MOM

17 - Method of Moments Recap

18 - Method of Moments Practice and Solutions.html

18 - Method-of-Moments-Practice.pdf

5 - Unbiased Estimators

19 - Bias-Notes.pdf

19 - Sampling Distribution Evaluating Estimators Bias

20 - Properties of Expected Values

20 - expected value properties linearity.zip

21 - Bernoulli MOM Bias

22 - Uniform MOM Bias

23 - Normal MOM Bias

24 - Bias Recap

25 - Bias-Practice.pdf

25 - Unbiased Estimators Practice and Solutions.html

6 - Variance

26 - Variance

26 - Variance-Notes-2.pdf

27 - Bernoulli Distribution Variance

28 - Uniform Distribution Variance

29 - Normal Distribution Variance

30 - Variance of Estimators and Properties of Variance

31 - Bernoulli MOM Variance

32 - Uniform MOM Variance

33 - Normal MOM Variance

34 - Variance Recap

35 - Variance Practice and Solutions.html

35 - Variance-Practice.pdf

7 - Maximum Likelihood Estimation

36 - Likelihood Function and Maximum Likelihood Estimation Motivation

36 - MLE-Notes.pdf

36 - likelihood function.zip

37 - Joint pdf joint likelihood

38 - Loglikelihood and finding the MLE

39 - Properties of logarithms

40 - Bernoulli MLE

41 - Uniform MLE

42 - Mean Squared Error

43 - Normal MLE

44 - MLE Recap

45 - MLE Practice and Solutions.html

45 - MLE-Practice.pdf

8 - Fisher Information and the CramerRao Lower Bound

46 - CRLB-Notes.pdf

46 - The CramerRao Lower Bound CRLB and Fisher Information

46 - cramerrao lower bound.zip

47 - Bernoulli CRLB

48 - Uniform CRLB

49 - Normal CRLB

50 - Efficiency

50 - efficiency.zip

51 - CRLB Recap

52 - CRLB Practice and Solutions.html

52 - CRLB-practice.pdf

9 - Central Limit Theorem

53 - CLT-Notes.pdf

53 - Distribution of Estimators and Convergence in Distribution

54 - Bernoulli MOMMLE Distribution

55 - Uniform MOM Distribution

56 - Normal MOMMLE Distribution

57 - Consistency

58 - CLT Recap

10 - Confidence Intervals

59 - CI-Notes.pdf

59 - Confidence Intervals

59 - confidence intervals.zip

60 - Bernoulli Confidence Interval

61 - Uniform Confidence Interval based on MOM

62 - Normal Confidence Interval

63 - Confidence Interval Recap Link to Hypothesis Testing

64 - CI-practice.pdf

64 - Confidence Interval Practice and Solutions.html

“Robotics & Mechatronics 2: 3D Modelling & Machine Design” به سبد خرید شما اضافه شد. مشاهده سبد خرید

139,000 تومان

خرید اشتراک افزودن به سبد خرید

خرید دانلودی فوری

در این روش نیاز به افزودن محصول به سبد خرید و تکمیل اطلاعات نیست و شما پس از وارد کردن ایمیل خود و طی کردن مراحل پرداخت لینک های دریافت محصولات را در ایمیل خود دریافت خواهید کرد.

تولید کننده: Udemy-Training