Introduction to Statistics Through Resampling Methods and R

Beschreibung

A highly accessible alternative approach to basic statistics Praisefor the First Edition: "Certainly one of the most impressivelittle paperback 200-page introductory statistics books that I willever see . . . it would make a good nightstand book for everystatistician."--Technometrics Written in a highly accessible style, Introduction to Statisticsthrough Resampling Methods and R, Second Edition guides students inthe understanding of descriptive statistics, estimation, hypothesistesting, and model building. The book emphasizes the discoverymethod, enabling readers to ascertain solutions on their own ratherthan simply copy answers or apply a formula by rote. TheSecond Edition utilizes the R programming language to simplifytedious computations, illustrate new concepts, and assist readersin completing exercises. The text facilitates quick learningthrough the use of: More than 250 exercises--with selected "hints"--scatteredthroughout to stimulate readers' thinking and to actively engagethem in applying their newfound skills An increased focus on why a method is introduced Multiple explanations of basic concepts Real-life applications in a variety of disciplines Dozens of thought-provoking, problem-solving questions in the finalchapter to assist readers in applying statistics to real-lifeapplications Introduction to Statistics through Resampling Methods and R, SecondEdition is an excellent resource for students and practitioners inthe fields of agriculture, astrophysics, bacteriology, biology,botany, business, climatology, clinical trials, economics,education, epidemiology, genetics, geology, growth processes,hospital administration, law, manufacturing, marketing, medicine,mycology, physics, political science, psychology, social welfare,sports, and toxicology who want to master and learn to applystatistical methods.

Autor*in

Phillip I. Good

Themen in »Introduction to Statistics Through Resampling Methods and R«

Computational & Graphical Statistics Probability & Mathematical Statistics Rechnergestützte u. graphische Statistik Statistics Statistik Wahrscheinlichkeitsrechnung u. mathematische Statistik

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