Showing posts with label Statistics. Show all posts
Showing posts with label Statistics. Show all posts

July 29, 2020

Quantitative Analysis for Management - Barry Render, Ralph M. Stair Jr - Book Information



Quantitative Analysis for Management, 12e

Barry Render, Ralph M. Stair Jr.
Pearson Education India, 2016 - Management science - 640 pages

Quantitative Analysis for Management, 12e, is a textbook aimed at helping undergraduate and graduate students develop an in-depth understanding of business analytics, quantitative methods, and management science. To enable students connect how the techniques presented in this book apply in the real world, computer-based applications and examples are a major focus of this edition. Mathematical models, with all the necessary assumptions, are presented in a clear and jargon-free language. The solution procedures are then applied to example problems alongside step-by-step how-to" instructions."
https://books.google.co.in/books?id=M9mXDQAAQBAJ

April 24, 2020

Data Science - A New Subject - Introduction and Courses Information


Data science includes  topics such as plotting, statistics and probability, Monte Carlo simulations, data modeling, clustering, and plotting. Data scientists are in high demand due to development of Big Data technologies and the adoption of these technologies by companies in both manufacturing and marketing as well as in surveillance and risk management.

https://en.wikipedia.org/wiki/Data_science

https://datascience.berkeley.edu/about/what-is-data-science/

1 Hour Data Science Course
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https://www.youtube.com/watch?v=-ETQ97mXXF0
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19 April 2015

https://www.coursebuffet.com/tag/Data%20Science


Data Science with R: Intro to Data Analysis
Date: Sept. 28th; Oct. 5th, 12th, 19th, 26th; 2014
http://nycdatascience.com/courses/r-programming-intensive-beginner/

Data Sciences - Moocs
http://www.coursetalk.com/courses/data-science



Updated 25 April 2020,   19 April 2015
1 August 2014







June 20, 2014

Big Data - The Revolutionary Change It is Bringing in Management - Planning and Decision Making

HBR article October  2012
http://hbr.org/2012/10/big-data-the-management-revolution

Big data tools and philosophies are bringing a revolution in management theory and practice.



How Big Business is Generating Value from Big Data

Stanford B School Panel Discussion Video
3 October 2013

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June 8, 2014

Statistics - Introduction

Introduction to Probability and Statistics - MBA Course Notes Statistics - Introduction

Statistics - Introduction

Statistics for Management - Revision - Knol - Article - Series

Mean, Median, Mode, Range, Variance, Standard Deviation, Correlation, Regression, Time Series Data Analysis

Authors

Origin

 
The word statistik comes from the Italian word statista. It means a statesman. Dr. E.A.W. Zimmerman introduced the work statistics into England and its use was popularized by Sir John Sinclair through his work, Statistical Account of Scotland 1791-1799.
 
We can identify three subdivisions in statistics now.
 

Descriptive statistics

 
Large amount of data is compressed into tables and charts in this branch of statistics.

How to Compute Mean, Median, Mode, Range, and Standard Deviation?
http://www.had2know.com/academics/mean-median-mode-range-standard-deviation.html
 

Inferential statistics

 
This branch of statistics deals with generalizing observations from samples to populations and statements about the probability of their validity.
 

Decision theory

 
This branch of statistics deals with decisions under risk and uncertainty
Five study material links are provided below for the five topics that form the foundation for a basic understanding of application of statistics.
Introduction, Organizing Data, Summary Measures of Data, Correlation and Regression, and Times Series Data Analysis
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Statistics - Study Materials
1. Introduction
2. Organizing Data
3. Numerical Descriptive Measures - Mean, Median, Mode and Range, Variance , Standard Deviation
4. Regression and Correlation
Example Problems
5. Time Series Data Analysis and Forecasting
Example Problems
Course Page - Foundation Course in  Statistics
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University of South Maine