Topic 1. • p-value, p-value approach, and its relation with classical decision rule approach. 0000005444 00000 n Most extreme value. �|�C���Z1����&��%��'L ��X�@�1,��ʂ`"N�76sTc� �6�K.͇��\�;$M�3P�I>���bN"}$e���3�]r%�=�1;3;�Y_�\|��2%E!���f��EfrQ�jqS�]��~���8RR���2�%�{�w5�6w���L�+�����7����������*q�"!e2��t�R�0IA�����6�XE`��xf�v�_�9��Z��3�������P��P�`�á��"������y�'�$Q찄"X�Ԉ,3 +�Y@s��3-\0�*�_.a��g/��\���?��Qn�"��������Ͽ�Eu!�.���|�c)TQ,��i�������?FL+�j5�FU�$�`�4Y��m���H��\ȍ$�|�"ǡem�n��Œ�*�^�@ެ � o �agS:bi�+��Q鋙��F�ɬ"�$i>Ir^����h�ګ��яm?0(��etv�c��K�F���O�>-0��~EWEj0�r7���7�ɀB�\v�8&i�mBs�n �,D��f��"�ߵ�)���n}ؕ#_H��T��R�2u�H��ScL�T3h�Z� M2���ܖ��_����L�X�|F��bX���@+m��Q�X��C�hN�M�D���u`��G��B�g�(WA���x��1�QJ�L9�e��J!��YW D��H��!���_)�E^r�

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0 Elements of Statistics Lecture Notes # 3 Today • How to form a decision rule. ��yv�I�D�����'�[A��' `�� �޲�{z�n�f_�� ���>� This course provides a comprehensive introduction to probability, statistical theory and methodology. �{!ulMF����a���1�K����%bk�G���x��$ʷ� p���P���:u�/�,H3?�N���m���zOe����6o� Lecture Note File. Elements of Statistics Notes: Section 1.1-1.3 – Getting Started What methods do statisticians use to make predictions?

Cutoff value/critical value. Definitions 2. %%EOF xref 0000004220 00000 n Statistics: Lecture Notes. 0000003239 00000 n 2nd Edition. Bazuin, Spring 2020 1 of 34 ECE 3800 Charles Boncelet, “Probability, Statistics, and Random Signals," Oxford University Press, 2016. 0000002755 00000 n Maximum likelihood estimation, Method of moments. 1These notes are meant to supplement the lectures for Stat 411 at UIC given by the author. "The Elements of Statistical Learning" Notebooks. 0000012097 00000 n BCA-S205 Units.

Expectations of random variables, Transformations of variables, Parameter, Statistics, Measure of location, measure of variability, Box-Plot graphs, Covariance and Correlation. A.L. 0000012172 00000 n

Probability Axioms, Combinatorics. stream 0000021146 00000 n Sampling Lab designed to expose the student to each of the five types of sampling 0000029693 00000 n 0000007585 00000 n x���n�6�=_a�]@b-���@ڝ�����(�m[vԱ-W����﹐�8�3��C &)�����!�����w�Τ�3����3�fΦq���n�K�����u$���2r�3�;h���7�] ���%��-x>��U��owoa#7�&�&���uqb��B��&�v�v[��\˨ ,w6���{�9�� �k�e�Ôqf-�T26Z�@~_,�c] �$��V�����m��7$�B&*� �,N�&�w�TG�5�V *�+=��o�n�L����H�d�d"6Nϖ��?n~�M�V7b��F�:KgO��̲���g�w�7�n�ہZxX��o�oj�*L҉�%.��s��B��C���9?T5��(U{�ѪX"}J�4‡�C�@j 0000024109 00000 n 0000004137 00000 n Bowley has defined statistics as: (i) statistics is the science of counting, (ii) Statistics may rightly be called the science of averages, and (iii) statistics is the science of measurement of social organism regarded as a whole in all its mani- 3 I. Probability: 1: Sets and events : 2: Probabilities and counting rules : 3: Conditional probability and independence : II.

• Direction of extreme. 0000012014 00000 n /Length 3208 Lecture notes files. Topic 3. 0000010721 00000 n 0000006601 00000 n <<38DC9F24CEFB224E889C48273A9F05BA>]>> 0000009716 00000 n 0000001036 00000 n ISBN: 978-0-19-020051-0 Chapter 10: ELEMENTS OF STATISTICS Sections 10.1 A Simple Election Poll 10.2 Estimating the Mean and Variance Statistics is a branch of mathematics used to summarize, analyze, and interpret a group of numbers or observations.

AsetAis called a … Random Variables, Expectation, Transformation (3 weeks) Random variables, probability mass … This work is in the public domain. Elements of Statistical Learning: data mining, inference, and prediction. 1937 0 obj<>stream Moment generating functions, Statistical Distributions: Discrete distributions and their properties, Continuous distributions and their properties. Statistics, and Random Signals, Oxford University Press, February 2016. %PDF-1.6 %���� Topic 2. >> 1901 37 1 How to form a decision rule ELEMENTS OF PROBABILITY AND STATISTICS. Introduction. Reproducing examples from the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Friedman with Python and its popular libraries: numpy, math, scipy, sklearn, pandas, tensorflow, statsmodels, sympy, catboost, pyearth, mlxtend, cvxpy.Almost all plotting is done using matplotlib, sometimes using seaborn. For Probability Theory the space is called the sample space.

• Calculation of α and β based on decision rules. SLDMIII is based on "Elements of Statistical Learning", which is a more advanced book than "An Introduction to Statistical Learning". 1901 0 obj <> endobj The course roughly follows the text by Hogg, McKean, and Craig, Introduction to Mathematical Statistics, 7th edition, 2012, henceforth referred to as HMC. ��m�� trailer 0000007473 00000 n

Populations are defined by what a researcher is studying and can come in all shapes and sizes. It is an intensive two-day experience in which you get to interact with us and the other participants. Chapter 1. The course code of Elements of Statistics is BCA-S205.

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