Author: Sang H. LeePublisher:
ISBN:
Category : NASTRAN (Computer program)
Languages : en
Pages :
Book Description
Preliminary MSC/NASTRAN Handbook for Nonlinear Analysis (based on Versions 65/66/67)
Author: Sang H. LeePublisher:
ISBN:
Category : NASTRAN (Computer program)
Languages : en
Pages :
Book Description
MSC/NASTRAN Handbook for Nonlinear Analysis
Author: Publisher:
ISBN:
Category : Finite element method
Languages : en
Pages : 736
Book Description
MSC/NASTRAN Handbook for Thermal Analysis
Author: MSC-NASTRAN handbook for linear analysis
Author: Experimental and Analytical Investigation of Dynamic Characteristics of Extension-twist-coupled Composite Tubular Spars
Author: Renee C. LakePublisher:
ISBN:
Category : Composite materials
Languages : en
Pages : 64
Book Description
Matrix Analysis of Structures SI Version
Author: Aslam KassimaliPublisher: Cengage Learning
ISBN: 9781111426224
Category : Technology & Engineering
Languages : en
Pages : 640
Book Description
This book takes a fresh, student-oriented approach to teaching the material covered in the senior- and first-year graduate-level matrix structural analysis course. Unlike traditional texts for this course that are difficult to read, Kassimali takes special care to provide understandable and exceptionally clear explanations of concepts, step-by-step procedures for analysis, flowcharts, and interesting and modern examples, producing a technically and mathematically accurate presentation of the subject. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
Bayesian Data Analysis, Third Edition
Author: Andrew GelmanPublisher: CRC Press
ISBN: 1439840954
Category : Mathematics
Languages : en
Pages : 677
Book Description
Now in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded for its accessible, practical approach to analyzing data and solving research problems. Bayesian Data Analysis, Third Edition continues to take an applied approach to analysis using up-to-date Bayesian methods. The authors—all leaders in the statistics community—introduce basic concepts from a data-analytic perspective before presenting advanced methods. Throughout the text, numerous worked examples drawn from real applications and research emphasize the use of Bayesian inference in practice. New to the Third Edition Four new chapters on nonparametric modeling Coverage of weakly informative priors and boundary-avoiding priors Updated discussion of cross-validation and predictive information criteria Improved convergence monitoring and effective sample size calculations for iterative simulation Presentations of Hamiltonian Monte Carlo, variational Bayes, and expectation propagation New and revised software code The book can be used in three different ways. For undergraduate students, it introduces Bayesian inference starting from first principles. For graduate students, the text presents effective current approaches to Bayesian modeling and computation in statistics and related fields. For researchers, it provides an assortment of Bayesian methods in applied statistics. Additional materials, including data sets used in the examples, solutions to selected exercises, and software instructions, are available on the book’s web page.
Cluster Analysis
Author: Brian S. EverittWriting Literature Reviews
Author: Jose L. GalvanPublisher: Taylor & Francis
ISBN: 1351858920
Category : Language Arts & Disciplines
Languages : en
Pages : 309
Book Description
Guideline 12: If the Results of Previous Studies Are Inconsistent or Widely Varying, Cite Them Separately
The NASTRAN Programmer's Manual
Author: Publisher:
ISBN:
Category : Computer programming
Languages : en
Pages : 1002
Book Description