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: Statistical Models and Methods for Biomedical and Technical Systems
  name:
    name part: Vonta, Filia.
    role:
      role term: editor.
  name:
    name part: Nikulin, Mikhail.
    role:
      role term: editor.
  name:
    name part: Limnios, Nikolaos.
    role:
      role term: editor.
  name:
    name part: Huber-Carol, Catherine.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2008
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XXXVI, 556 p. 55 illus. online resource.
  abstract: An outgrowth of the "International Conference on Statistical Models for Biomedical and Technical Systems," this book is comprised of contributions from renowned experts, demonstrating the significance of current research on theory, methods, and applications of the field. The contributions, which deal with the mathematical aspects of survival analysis and reliability as well as other topics, are a careful selection of invited and contributed chapters, reflecting recent developments in the following areas: * Applications in epidemiology * Estimation and testing for stochastic processes * Generalizations of the Cox regression model * Probabilistic and statistical models and methods in reliability * Semi-parametric inference in survival analysis * Models and methods in survival analysis, longevity, aging, and degradation * Nonparametric estimation – Goodness-of-fit tests * Accelerated life models * Quality of life * Analysis of censored data * Adaptive and repeated measurements designs * Measures of divergence, model selection, and survival models * New statistical challenges in genomics The book will be useful to a broad interdisciplinary readership of researchers and practitioners in applied probability and statistics, industrial statistics, biomedicine, biostatistics, and engineering. Practitioners and researchers in academia will gain insight and new ideas for exploring this fertile area of research.
  table of contents: Cox Models, Analyses, and Extensions -- Extended Cox and Accelerated Models in Reliability, with General Censoring and Truncation -- Corrected Score Estimation in the Cox Regression Model with Misclassified Discrete Covariates -- A Varying-Coefficient Hazards Regression Model for Multiple Cross-Effect -- Closure Properties and Diagnostic Plots for the Frailty Distribution in Proportional Hazards Models -- Multivariate Survival Data With Censoring -- Reliability Theory—Degradation Models -- Virtual (Biological) Age Versus Chronological Age -- A Competing Risks Model for Degradation and Traumatic Failure Times -- Generalized Birth and Death Processes as Degradation Models -- Nonperiodic Inspections to Guarantee a Prescribed Level of Reliability -- Optimal Incomplete Maintenance for Weibull Failure Processes -- Are Nonhomogeneous Poisson Process Models Preferable to General-Order Statistics Models for Software Reliability Estimation? -- Multistate System Reliability Assessment by Using the Markov Reward Model -- Inferential Analysis -- Asymptotic Certainty Bands for Kernel Density Estimators Based upon a Bootstrap Resampling Scheme -- Estimation of Rescaled Distribution -- Nested Plans for Sequential Change Point Detection—The Parametric Case -- Sampling in Survival Analysis and Estimation with Unknown Selection Bias and Censoring -- Testing the Acceleration Function in Lifetime Models -- Recent Achievements in Modified Chi-Squared Goodness-of-Fit Testing -- Goodness-of-Fit Tests for Pareto Distribution -- Application of Inverse Problems in Epidemiology and Biodemography -- Analysis of Censored Data -- A Sampling-Based Chi-Squared Test for Interval-Censored Data -- Semiparametric Regression Models for Interval-Censored Survival Data, With and Without Frailty Effects -- Exact Likelihood Inference for an Exponential Parameter Under Progressive Hybrid Censoring Schemes -- Quality of Life -- Sequential Analysis of Quality-of-Life Measurements Using Mixed Rasch Models -- Me…
  note: edited by Filia Vonta, Mikhail Nikulin, Nikolaos Limnios, Catherine Huber-Carol.
  subject:
    topic: Medicine
  subject:
    topic: Epidemiology
  subject:
    topic: Applied mathematics
  subject:
    topic: Engineering mathematics
  subject:
    topic: Mathematical models
  subject:
    topic: Statistics
  subject:
    topic: Biomedical engineering
  subject:
    topic: Medicine & Public Health
  subject:
    topic: Epidemiology
  subject:
    topic: Biomedical Engineering
  subject:
    topic: Applications of Mathematics
  subject:
    topic: Statistics for Life Sciences, Medicine, Health Sciences
  subject:
    topic: Statistical Theory and Methods
  subject:
    topic: Mathematical Modeling and Industrial Mathematics
  classification: RA648.5-654
  classification: 614.4
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Statistics for Industry and Technology
  identifier: 9780817646196
  identifier: http://dx.doi.org/10.1007/978-0-8176-4619-6
  record info:
    record creation date: 100301
    record change date: 20151204163822.0
    record identifier: 978-0-8176-4619-6