rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Modern Mathematical Statistics with Applications
  name:
    name part: Devore, Jay L.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Berk, Kenneth N.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2012
    edition: 2.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XII, 845 p. 237 illus. online resource.
  abstract: Many mathematical statistics texts are heavily oriented toward a rigorous mathematical development of probability and statistics, without much attention paid to how statistics is actually used.. In contrast, Modern Mathematical Statistics with Applications, Second Edition strikes a balance between mathematical foundations and statistical practice. In keeping with the recommendation that every math student should study statistics and probability with an emphasis on data analysis, accomplished authors Jay Devore and Kenneth Berk make statistical concepts and methods clear and relevant through careful explanations and a broad range of applications involving real data. The main focus of the book is on presenting and illustrating methods of inferential statistics that are useful in research. It begins with a chapter on descriptive statistics that immediately exposes the reader to real data. The next six chapters develop the probability material that bridges the gap between descriptive and inferential statistics. Point estimation, inferences based on statistical intervals, and hypothesis testing are then introduced in the next three chapters. The remainder of the book explores the use of this methodology in a variety of more complex settings. This edition includes a plethora of new exercises, a number of which are similar to what would be encountered on the actuarial exams that cover probability and statistics. Representative applications include investigating whether the average tip percentage in a particular restaurant exceeds the standard 15%, considering whether the flavor and aroma of Champagne are affected by bottle temperature or type of pour, modeling the relationship between college graduation rate and average SAT score, and assessing the likelihood of O-ring failure in space shuttle launches as related to launch temperature. Other features include: - An extensive range of applications that will appeal to a wide audience, including mathematics and statistics majo…
  table of contents: Overview and Descriptive Statistics -- Probability -- Discrete Random Variables and Probability Distributions -- Continuous Random Variables and Probability Distributions -- Joint Probability Distributions -- Statistics and Sampling Distributions -- Point Estimation -- Statistical Intervals Based on a Single Sample -- Tests of Hypotheses Based on a Single Sample -- Inferences Based on Two Samples -- The Analysis of Variance -- Regression and Correlation -- Goodness-of-Fit Tests and Categorical Data Analysis -- Alternative Approaches to Inference -- Appendix Tables. .
  note: by Jay L. Devore, Kenneth N. Berk.
  subject:
    topic: Statistics
  subject:
    topic: Statistics
  subject:
    topic: Statistics, general
  subject:
    topic: Statistical Theory and Methods
  classification: QA276-280
  classification: 519.5
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Springer Texts in Statistics
  identifier: 9781461403913
  identifier: http://dx.doi.org/10.1007/978-1-4614-0391-3
  record info:
    record creation date: 111206
    record change date: 20170228141130.0
    record identifier: 978-1-4614-0391-3