menu
{ "item_title" : "Introduction to Statistics", "item_author" : [" Wolfgang Karl Härdle", "Sigbert Klinke", "Bernd Rönz "], "item_description" : "This book covers all the topics found in introductory descriptive statistics courses, including simple linear regression and time series analysis, the fundamentals of inferential statistics (probability theory, random sampling and estimation theory), and inferential statistics itself (confidence intervals, testing).Each chapter starts with the necessary theoretical background, which is followed by a variety of examples. The core examples are based on the content of the respective chapter, while the advanced examples, designed to deepen students' knowledge, also draw on information and material from previous chapters.The enhanced online version helps students grasp the complexity and the practical relevance of statistical analysis through interactive examples and is suitable for undergraduate and graduate students taking their first statistics courses, as well as for undergraduate students in non-mathematical fields, e.g. economics, the social sciences etc.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/3/31/979/237/3319792377_b.jpg", "price_data" : { "retail_price" : "64.99", "online_price" : "64.99", "our_price" : "64.99", "club_price" : "64.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Introduction to Statistics|Wolfgang Karl Härdle

Introduction to Statistics : Using Interactive Mm*stat Elements

local_shippingShip to Me
In Stock.
FREE Shipping for Club Members help

Overview

This book covers all the topics found in introductory descriptive statistics courses, including simple linear regression and time series analysis, the fundamentals of inferential statistics (probability theory, random sampling and estimation theory), and inferential statistics itself (confidence intervals, testing).

Each chapter starts with the necessary theoretical background, which is followed by a variety of examples. The core examples are based on the content of the respective chapter, while the advanced examples, designed to deepen students' knowledge, also draw on information and material from previous chapters.

The enhanced online version helps students grasp the complexity and the practical relevance of statistical analysis through interactive examples and is suitable for undergraduate and graduate students taking their first statistics courses, as well as for undergraduate students in non-mathematical fields, e.g. economics, the social sciences etc.

This item is Non-Returnable

Details

  • ISBN-13: 9783319792378
  • ISBN-10: 3319792377
  • Publisher: Springer
  • Publish Date: March 2018
  • Dimensions: 9.21 x 6.14 x 1.09 inches
  • Shipping Weight: 1.64 pounds
  • Page Count: 516

Related Categories

You May Also Like...

    1

BAM Customer Reviews