This introduction to statistics integrated with STATA and SPSS offers an accessible overview for students in sociology, political science, criminal justice and other social sciences
This introduction to statistics integrated with STATA and SPSS offers an accessible overview for students in sociology, political science, criminal justice and other social sciences
The skill of statistical thinking is increasing in importance in this predominantly data-driven world. With Mendenhall, Beaver and Beaver's INTRODUCTION TO PROBABILITY AND STATISTICS, 15th Edition,
Peck, Short, and Olsen's INTRODUCTION TO STATISTICS AND DATA ANALYSIS, 6th Edition stresses interpretation and communication of statistical information through hands-on, activity based learning using
The field of statistics focuses on drawing conclusions from data by modeling and analyzing the data using probabilistic models. The authors of this introductory text describe three key concepts from s
A comprehensive resource that offers an introduction to statistics with a Bayesian angle, for students of professional disciplines like engineering and economics The Bayesian Way offers a basic introd
Due to the recent progress of communication tools and the globalization of the world economy and information space, our physical lives, economical existences, and information fields are becoming more
An Introduction to Medical Statistics, fourth edition, is a 'must-have' textbook. Written in an easy-to-understand style and packed with real life examples, the text clearly explains the common statis
The Second Bayesian Young Statisticians Meeting (BAYSM 2014) and the research presented here facilitate connections among researchers using Bayesian Statistics by providing a forum for the development
INTRODUCTION TO STATISTICS AND DATA ANALYSIS introduces you to the study of statistics and data analysis by using real data and attention-grabbing examples. The authors guide you through an intuition-
INTRODUCTION TO STATISTICS AND DATA ANALYSIS introduces you to the study of statistics and data analysis by using real data and attention-grabbing examples. The authors guide you through an intuition-
There has been a tremendous increase in the breadth of application of Bayesian methods to problems in industry in the last twenty or so years. However, there are still very few books on the market tha
The first Bayesian Young Statisticians Meeting, BAYSM 2013, has provided a unique opportunity for young researchers, M.S. students, Ph.D. students, and post-docs dealing with Bayesian statistics to co
The theory of probability and mathematical statistics is becoming an indispensable discipline in many branches of science and engineering. This is caused by increasing significance of various uncertai
A hilarious and bold graphic adventure into the world of big dataStatistics help us create Internet technologies, develop medicines, win elections, invest in stocks, predict the weather, and much more
A lot of statisticians, actuarial mathematicians , reliability engineers, meteorologists, hydrologists, economists. Business and sport analysts deal with order statistics which play an important role
EBEB 2012 aimed to strengthen the research on Bayesian methods, as well as widen their application in the scientific community. It also provided an environment where researchers could collaborate, pre
For second-year mathematics students and for scientists and computer scientists who not only will apply stochastics but also want to understand its mathematical dimension, Georgii (mathematics, Ludwig
"Preface. History. Markov chain Monte Carlo (MCMC) methods, in which plausible values for unknown quantities are simulated from their appropriate probability distribution, have revolutionised the prac
Contains fully worked-out solutions to all of the odd-numbered exercises in the text, giving students a way to check their answers and ensure that they took the correct steps to arrive at an answer.
This is a textbook for a one-semester introductory course in statistics for undergraduate biology majors, students in pre-professional programs in the health sciences, and anybody interested in learni
The ideal review for your intro to probability courseMore than 40 million students have trusted Schaum’s Outlines for their expert knowledge and helpful solved problems. Written by renowned experts in
Making statistical modeling and inference more accessible to ecologists and related scientists, Introduction to Hierarchical Bayesian Modeling for Ecological Data gives readers a flexible and effectiv
Prepare for exams and succeed in your statistics course with this comprehensive solutions manual! Featuring worked out-solutions to the problems in STATISTICS: THE EXPLORATION & ANALYSIS OF DATA,
INTRODUCTION TO STATISTICS AND DATA ANALYSIS, 4th Edition, introduces you to the study of statistics and data analysis by using real data and attention-grabbing examples. The authors guide you throug
Lean production, has long been regarded as critical to business success in many industries. Over the last ten years, instruction in six sigma has been increasingly linked with learning about the eleme
R is a programming language, and the name of a software system that implements the language. This book shows how to use the R software package for data analysis, statistical programming, and graphics.
A self-contained introduction to Statistics, presented in the context of clinical trials and pharmaceutical drug development. This title focuses on the statistical analyses most commonly used in drug
This innovative new approach to statistics simplifies concepts for those using them in the business world. The book discusses the basics of statistics starting with an introduction to business researc
Kirk (Baylor University) introduces the methods of descriptive and inferential statistics and explains how to read statistical presentations in behavioral sciences, health sciences, and education. Top
This book will help you to understand the use of statistics in nursing literature, and show you how to use statistics effectively in answering your own research questions. Case studies throughout show
Introduction to Statistics for Forensic Scientists is an essential introduction to the subject, gently guiding the reader through the key statistical techniques used to evaluate various types of fore
