Home Mathematics Research Library New Books/Journals New Titles February 27, 2013

February 27, 2013

 

Books

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1.
by Daniel T Wise
 Book
Language: English
Publisher: Providence, Rhode Island : Published for the Conference Board of the Mathematical Sciences by the American Mathematical Society, Providence, Rhode Island with support from the National Science Foundation, [2012]
QA171 .W735 2012



2.
by Alan Baker
 Book
Language: English
Publisher: New York : Cambridge University Press, 2012.
QA241 .B237 2012



3.
by L Chaumont; Marc Yor
 Book
Language: English
Publisher: Cambridge ; New York : Cambridge University Press, 2012.
QA273.25 .C492 2012



4.
by R Mead; S G Gilmour; A Mead
 Book
Language: English
Publisher: Cambridge : Cambridge University Press, 2012.
QA279 .M38825 2012



5.
by Sylvie Paycha
 Book
Language: English
Publisher: Providence, R.I. : American Mathematical Society, ©2012.
QA351 .P29 2012



6.
by Paul Lockhart
 Book
Language: English
Publisher: Cambridge, Mass. : Harvard University Press, ©2012.
QA447 .L625 2012



7.
by I Dolgachev
 Book
Language: English
Publisher: Cambridge ; New York : Cambridge University Press, 2012.
QA564 .D638 2012

 

 

 

EBooks

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    Here are a sampling of new Springer e-books.  Springer has a new interface.  We are no longer able to filter out the new  books each week, or to alphabetize the list, or to search Mathematics and Statistics at the same time.  The weekly list posted here will not be comprehensive.

     

    If you would like to browse the Springer e-books, go to the Mathematics Research Library website at http://www.lib.washington.edu/math.  From the Resources column in the center of the website, click on the link to Springer Mathematics and Statistics.

     

    Select Mathematics or Statistics from the list in bold blue print on the left side of the screen.   Uncheck the box that says Include Preview-Only Content.  Under Content Type, select Book.  Under language, select English.

     

    Above the list of results, there is an option to Sort By.  Use the drop-down box to select Newest First.  For Date Published, choose In and type in 2013.

     

    Adaptive Sampling Designs

    Inference for Sparse and Clustered Populations

    George A.F. Seber, Mohammad M. Salehi in SpringerBriefs in Statistics (2013)

     


     

    Bayesian and Frequentist Regression Methods

    Jon Wakefield in Springer Series in Statistics (2013)

     


     

    Complex Models and Computational Methods in Statistics

    Matteo Grigoletto, Francesco Lisi in Contributions to Statistics (2013)

     


     

    Continuous-Time Markov Jump Linear Systems

    Oswaldo L.V. Costa, Marcelo D. Fragoso in Probability and Its Applications (2013)

     


     

    Dynamical Systems

    An Introduction

    Luis Barreira, Claudia Valls in Universitext (2013)

     


     

    Essential Statistical Inference

    Theory and Methods

    Dennis D. Boos, L. A. Stefanski in Springer Texts in Statistics (2013)

     


     

    Essentials of Monte Carlo Simulation

    Statistical Methods for Building Simulation Models

    Nick T. Thomopoulos (2013)

     


     

    Excel 2010 for Biological and Life Sciences Statistics

    A Guide to Solving Practical Problems

    Thomas J. Quirk, Meghan Quirk (2013)

     


     

    Extremal Problems in Interpolation Theory, Whitney-Besicovitch Coverings, and Singular Integrals

    Sergey Kislyakov, Natan Kruglyak in Monografie Matematyczne (2013)

     


     

    Geometric Properties for Parabolic and Elliptic PDE's

    Rolando Magnanini, Shigeru Sakaguchi in Springer INdAM Series (2013)



     

    Guts of Surfaces and the Colored Jones Polynomial

    David Futer, Efstratia Kalfagianni in Lecture Notes in Mathematics (2013)

     


     

     

    Informal Introduction to Stochastic Processes with Maple

    Jan Vrbik, Paul Vrbik in Universitext (2013)

     


     

    Interest Rate Derivatives

    Valuation, Calibration and Sensitivity Analysis

    Ingo Beyna in Lecture Notes in Economics and Mathematical Systems (2013)

     


     

    Interpolation and Sidon Sets for Compact Groups

    Colin C. Graham, Kathryn E. Hare in CMS Books in Mathematics (2013)

     


     

    Introduction to Perturbation Methods

    Mark H. Holmes in Texts in Applied Mathematics (2013)

     


     

     

    Invariant Random Fields on Spaces with a Group Action

    Anatoliy Malyarenko in Probability and Its Applications (2013)

     


     

    Lévy Matters II

    Recent Progress in Theory and Applications: Fractional Lévy Fields, and Scale Functions

    Serge Cohen, Alexey Kuznetsov, Andreas E. Kyprianou in Lecture Notes in Mathematics (2013)



    Linear-Quadratic Controls in Risk-Averse Decision Making

    Performance-Measure Statistics and Control Decision Optimization

    Khanh D. Pham in SpringerBriefs in Optimization (2013)

     


     

    The Methods of Distances in the Theory of Probability and Statistics

    Svetlozar T. Rachev, Lev B. Klebanov (2013)

     


     

    Modelling and Simulation in Fluid Dynamics in Porous Media

    José A. Ferreira, Sílvia Barbeiro in Springer Proceedings in Mathematics & Statistics (2013)

     


     

    Probabilistic Group Theory, Combinatorics, and Computing

    Lectures from the Fifth de Brún Workshop

    Alla Detinko, Dane Flannery in Lecture Notes in Mathematics (2013)

     


     

    Proceedings of the Fourth Seattle Symposium in Biostatistics: Clinical Trials

    Thomas R. Fleming, Bruce S. Weir in Lecture Notes in Statistics (2013)

     


     

    Regular Functions of a Quaternionic Variable

    Graziano Gentili, Caterina Stoppato in Springer Monographs in Mathematics (2013)

     


     

     

    Risk Measures and Attitudes

    Francesca Biagini, Andreas Richter in EAA Series (2013)

     


     

    Selected Works of Peter J. Bickel

    Jianqing Fan, Ya'acov Ritov in Selected Works in Probability and Statistics (2013)

     


     

    Statistical Inference for Discrete Time Stochastic Processes

    in SpringerBriefs in Statistics (2013)

     


     

    Statistical Methods for Spatial Planning and Monitoring

    Silvestro Montrone, Paola Perchinunno in Contributions to Statistics (2013)

     


     

     

    Stochastic Biomathematical Models

    with Applications to Neuronal Modeling

    Mostafa Bachar, Jerry Batzel in Lecture Notes in Mathematics (2013)

     


     

    Strength in Numbers: The Rising of Academic Statistics Departments in the U. S.

    Alan Agresti, Xiao-Li Meng (2013)

     


     

    Uniform Spaces and Measures

    Jan Pachl in Fields Institute Monographs (2013)

     

     


    Journal Issues

    New Online Journal Issues

       

       

       

       

       

      New Print Journal Issues

       

      ARS Comb., v.108 Jan2013

      Cahiers Top. Geom. Diff. Cate., v.53 no.3 2012

      Fibonacci Qtrly., v.50 no.4 Nov2012

      Publicaciones Mate. Uruguay, v.12 2011

       




       

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      By UW Authors

      Recent articles by authors in Math, Applied Math, and Statistics.

       

      Record 1 of 5.

      Click Here to View Full Record

      Title:

      Small-sample behavior of novel phase I cancer trial designs

      Author Full Names:

      Oron, Assaf P.; Hoff, Peter D.

      Source:

      CLINICAL TRIALS, 10 (1):63-80; 10.1177/1740774512469311 FEB 2013

      Language: English

      Abstract:

      Background Novel dose-finding designs for Phase I cancer clinical trials, using estimation to assign the best estimated Maximum Tolerated Dose (MTD) at each point in the experiment, most prominently via Bayesian techniques, have been widely discussed and promoted since 1990.
      Purpose To examine the small-sample behavior of these 'Bayesian Phase I' designs, and also of non-Bayesian designs sharing the same main 'Long-Memory' traits of using likelihood estimation and assigning the estimated MTD to the next patient.
      Methods Data from several recently published experiments are presented and discussed, and Long-Memory designs' operating principles are explained. Simulation studies compare the small-sample behavior of Long-Memory designs with short-memory 'Up-and-Down' designs.
      Results In simulation, Long-Memory and Up-and-Down designs achieved similar success rates in finding the MTD. However, for all Long-Memory designs examined, the number n* of cohorts treated at the true MTD was highly variable between simulated experiments drawn from the same toxicity-threshold distribution. Further investigation using the same set of thresholds in permuted order indicates that this Long-Memory behavior is driven by sensitivity to the order in which participants enter the experiment. This sensitivity is related to Long-Memory designs' 'winner-takes-all' dose-assignment rule, which grants the early cohorts a disproportionately large influence, and causes many experiments to settle early on a specific dose. Additionally for the Bayesian Long-Memory designs, the prior-predictive distribution over the dose levels has a substantial impact upon MTD-finding performance, long into the experiment.
      Limitations While the numerical evidence for Long-Memory designs' order sensitivity is broad, and plausible explanations for it are provided, we do not present a theoretical proof of the phenomenon.
      Conclusions Method developers, analysts, and practitioners should be aware of Long-Memory designs' order sensitivity and related phenomena. In particular, they should be informed that settling on a single dose does not guarantee that this dose is the MTD. Presently, Up-and-Down designs offer a simpler and more robust alternative for the sample sizes of 10-40 patients used in most Phase I trials. Future designs might benefit from combining the two approaches. We also suggest that the field's paradigm change from dose-selection to dose-estimation. Clinical Trials 2013; 10: 63-80. http://ctj.sagepub.com


      Record 2 of 5.

      Click Here to View Full Record

      Title:

      Small-sample behavior of novel phase I designs: Rejoinder

      Author Full Names:

      Oron, Assaf P.; Hoff, Peter D.

      Source:

      CLINICAL TRIALS, 10 (1):88-89; 10.1177/1740774512470766 FEB 2013

      Language: English

      Record 3 of 5.

      Click Here to View Full Record

      Title:

      Basilar Tip Aneurysms: A Microsurgical and Endovascular Contemporary Series of 100 Patients

      Author Full Names:

      Sekhar, Laligam N.; Tariq, Farzana; Morton, Ryan P.; Ghodke, Basavaraj; Hallam, Daniel K.; Barber, Jason; Kim, Louis J.

      Source:

      NEUROSURGERY, 72 (2):284-298; 10.1227/NEU.0b013e3182797952 FEB 2013

      Language: English

      Abstract:

      BACKGROUND: Endovascular therapy has largely replaced microsurgical clipping for the treatment of basilar tip aneurysms.
      OBJECTIVE: We describe the variables our center evaluates when choosing to clip or coil basilar tip aneurysms and our outcomes. Four case illustrations are presented.
      METHODS: All patients with ruptured or unruptured basilar tip aneurysms from 2005 to April 2012 were examined. The patients were treated by 2 interventional neuroradiologists and 2 dually trained neurosurgeons.
      RESULTS: There were 63 ruptured (clipped 38%, coiled 62%) and 37 unruptured (clipped 35%, coiled 65%) aneurysms in this 100-patient study. Seventy percent of the patients with ruptured aneurysms and 92% of the patients with unruptured aneurysms had a good outcome (modified Rankin scale 0-2) at 3 months. For ruptured aneurysms, there was a statistically significant difference in clipping and coiling with respect to age and treatment modality (clip 48.8 years, coil 57.6 years). Patients in the coiled group had higher dome-to-neck (1.3 vs 1.1) (P = .01) and aspect ratios (1.6 vs 1.2) (P = .007). In the ruptured coiling group, 69.5% achieved a Raymond 1 radiographic outcome, 28% Raymond 2, and 2.5% Raymond 3. Eleven (17.4%) patients required re-treatment, and 3 (4.4%) patients were re-treated more than twice. Coiling of unruptured aneurysms resulted in 75% Raymond 1. There were no residual lesions for unruptured clipped aneurysms. There were no differences in outcome between! clipping and coiling in the ruptured and unruptured group.
      CONCLUSION: In our current management of basilar tip aneurysms, the majority can be treated via endovascular means, albeit with the expectation of a higher percentage of residual lesions and recurrences. Microsurgery is still appropriate for aneurysms with complex neck morphologies and in young patients desiring a more durable treatment.


      Record 4 of 5.

      Click Here to View Full Record

      Title:

      A system for exact and approximate genetic linkage analysis of SNP data in large pedigrees

      Author Full Names:

      Silberstein, Mark; Weissbrod, Omer; Otten, Lars; Tzemach, Anna; Anisenia, Andrei; Shtark, Oren; Tuberg, Dvir; Galfrin, Eddie; Gannon, Irena; Shalata, Adel; Borochowitz, Zvi U.; Dechter, Rina; Thompson, Elizabeth; Geiger, Dan

      Source:

      BIOINFORMATICS, 29 (2):197-205; 10.1093/bioinformatics/bts658 JAN 15 2013

      Language: English

      Abstract:

      Motivation: The use of dense single nucleotide polymorphism (SNP) data in genetic linkage analysis of large pedigrees is impeded by significant technical, methodological and computational challenges. Here we describe Superlink-Online SNP, a new powerful online system that streamlines the linkage analysis of SNP data. It features a fully integrated flexible processing workflow comprising both well-known and novel data analysis tools, including SNP clustering, erroneous data filtering, exact and approximate LOD calculations and maximum-likelihood haplotyping. The system draws its power from thousands of CPUs, performing data analysis tasks orders of magnitude faster than a single computer. By providing an intuitive interface to sophisticated state-of-the-art analysis tools coupled with high computing capacity, Superlink-Online SNP helps geneticists unleash the potential of SNP data for detecting disease genes.
      Results: Computations performed by Superlink-Online SNP are automatically parallelized using novel paradigms, and executed on unlimited number of private or public CPUs. One novel service is large-scale approximate Markov Chain-Monte Carlo (MCMC) analysis. The accuracy of the results is reliably estimated by running the same computation on multiple CPUs and evaluating the Gelman-Rubin Score to set aside unreliable results. Another service within the workflow is a novel parallelized exact algorithm for inferring maximum-likelihood haplotyping. The reported system enables genetic analyses that were previously infeasible. We demonstrate the system capabilities through a study of a large complex pedigree affected with metabolic syndrome.


      Record 5 of 5.

      Click Here to View Full Record

      Title:

      Introduction to the Special Issue on Sparsity and Regularization Methods

      Author Full Names:

      Wellner, Jon; Zhang, Tong

      Source:

      STATISTICAL SCIENCE, 27 (4):447-449; 10.1214/12-STS409 NOV 2012

      Language: English