Kooperativer Bibliotheksverbund

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Format: 1 Online-Ressource

Edition: 2. ed.

ISBN: 9781441968241

Series Statement: Springer series in statistics

Additional Edition: Erscheint auch als Druckausgabe ISBN 978-1-4419-6823-4

Language: English

DOI: 10.1007/978-1-4419-6824-1

URL: Volltext

UID:

Format: XII, 226 p. 47 illus. , online resource.

ISBN: 9781475730272

Series Statement: Statistics for Biology and Health,

Content: Multiple complex pathways, characterized by interrelated events and con­ ditions, represent routes to many illnesses, diseases, and ultimately death. Although there are substantial data and plausibility arguments supporting many conditions as contributory components of pathways to illness and disease end points, we have, historically, lacked an effective methodology for identifying the structure of the full pathways. Regression methods, with strong linearity assumptions and data-based constraints on the extent and order of interaction terms, have traditionally been the strategies of choice for relating outcomes to potentially complex explanatory pathways. How­ ever, nonlinear relationships among candidate explanatory variables are a generic feature that must be dealt with in any characterization of how health outcomes come about. Thus, the purpose of this book is to demon­ strate the effectiveness of a relatively recently developed methodology­ recursive partitioning-as a response to this challenge. We also compare and contrast what is learned via recursive partitioning with results ob­ tained on the same data sets using more traditional methods. This serves to highlight exactly where--and for what kinds of questions-recursive partitioning-based strategies have a decisive advantage over classical re­ gression techniques. This book is suitable for three broad groups of readers: (1) biomedical re­ searchers, clinicians, public health practitioners including epidemiologists, health service researchers, environmental policy advisers; (2) consulting statisticians who can use the recursive partitioning technique as a guide in providing effective and insightful solutions to clients' problems; and (3) statisticians interested in methodological and theoretical issues.

Note: 1 Introduction -- 2 A Practical Guide to Tree Construction -- 3 Logistic Regression -- 4 Classification Trees for a Binary Response -- 5 Risk-Factor Analysis Using Tree-Based Stratification -- 6 Analysis of Censored Data: Examples -- 7 Analysis of Censored Data: Concepts and Classical Methods -- 8 Analysis of Censored Data: Survival Trees -- 9 Regression Trees and Adaptive Splines for a Continuous Response -- 10 Analysis of Longitudinal Data -- 11 Analysis of Multiple Discrete Responses -- 12 Appendix -- References.

In: Springer eBooks

Additional Edition: Printed edition: ISBN 9781475730296

Language: English

DOI: 10.1007/978-1-4757-3027-2

URL: http://dx.doi.org/10.1007/978-1-4757-3027-2

URL: Volltext

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Format: XII, 226 S. : , graph. Darst.

ISBN: 0-387-98671-5

Series Statement: Statistics for biology and health

Note: Literaturverz. S. 211 - 222

Language: German

Subjects: Economics

Keywords: Medizinische Statistik

UID:

Format: 1 Online-Ressource

Original writing title: 中国农业产业化道路

Original writing person/organisation: 王振友

Original writing publisher: 北京 : 社会科学文献出版社

ISBN: 7801495500

Series Statement: Zhong guo jing ji yun hang cong shu

Content: 本书内容包括：廊坊市农业产业化经营历史和现状、廊坊市农业产业化经营发展阶段判断、廊坊市农业产业化经营战略措施探讨等。

Note: 电子文献 , Pinyin-Umschrift und Langzeichen wurden automatisiert erstellt

Language: Chinese

URL: Volltext

URL: Volltext

UID:

Format: XIV, 258 Seiten , graph. Darst. , 235 mm x 155 mm

Edition: 2nd. ed.

ISBN: 9781441968234

Series Statement: Springer series in statistics

Note: Text engl.

Language: English

Keywords: Medizinische Statistik

URL: http://deposit.d-nb.de/cgi-bin/dokserv?id=3476470&prov=M&dok_var=1&dok_ext=htm

UID:

Format: xii, 287 p. : , ill.

Edition: Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.

Series Statement: Series in biostatistics ; v. 1

Language: English

Keywords: Electronic books.

URL: Click to View

UID:

Format: Online-Ressource (VIII, 535 p. 66 illus., 37 illus. in color, online resource)

ISBN: 9789401788410

Series Statement: SpringerLink

Content: The book summarizes the latest research and developments in dairy biotechnology and engineering. It provides a strategic approach for readers relating to fundamental research and practical work with lactic acid bacteria. The book covers every aspect from identification, ecology, taxonomy and industrial use. All contributors are experts who have substantial experience in the corresponding research field. The book is intended for researchers in the human, animal, and food sciences related to lactic acid bacteria. Dr. Heping Zhang is a Professor at the Key Laboratory of Dairy Biotechnology and Engineering Ministry of Education, Inner Mongolia Agricultural University, China. Dr. Yimin Cai works in Livestock and Environment Division, Japan International Research Center for Agricultural Sciences (JIRCAS), Japan.

Note: Description based upon print version of record , Contents; Contributors; 1 Phylogenesis and Evolution of Lactic Acid Bacteria; Abstract; 1.1Introduction; 1.2The Genus Bifidobacterium; 1.2.1 History; 1.2.2 Cell Morphology and Cultural Characteristics; 1.2.3 Phylogenetic Position of Species in the Genus Bifidobacterium; 1.2.4 Grouping Within the Genus Bifidobacterium; 1.2.5 Phylogeny and Evolution; 1.3The Genus Enterococcus; 1.3.1 History; 1.3.2 Cell Morphology and Cultural Characteristics; 1.3.3 Phylogenetic Position and Genomes of Species in the Enterococcus genus; 1.3.4 Taxonomy and Phylogenetics; 1.3.4.1 Enterococcus faecalis Group , 1.3.4.2 Enterococcus faecium Group1.3.4.3 Enterococcus avium Group; 1.3.4.4 Six Couples of Enterococcus; 1.3.5 Phylogeny and Evolution; 1.4The Genus Lactobacillus; 1.4.1 History; 1.4.2 Cell Morphology and Cultural Characteristics; 1.4.3 Phylogenetic Position of the Lactobacillus Genus; 1.4.4 Grouping Within the Genus Lactobacillus; 1.4.4.1 Lactobacillus delbrueckii Group; 1.4.4.2 Lactobacillus salivarius Group; 1.4.4.3 Lactobacillus reuteri Group; 1.4.4.4 Lactobacillus buchneri Group; 1.4.4.5 Lactobacillus alimentarius Group; 1.4.4.6 Lactobacillus brevis Group , 1.4.4.7 Lactobacillus collinoides Group1.4.4.8 Lactobacillus fructivorans Group; 1.4.4.9 Lactobacillus plantarum Group; 1.4.4.10 Lactobacillus sakei Group; 1.4.4.11 Lactobacillus casei Group; 1.4.4.12 Lactobacillus coryniformis Group; 1.4.4.13 Lactobacillus manihotivorans Group; 1.4.4.14 Lactobacillus perolens Group; 1.4.4.15 Lactobacillus vaccinostercus Group; 1.4.4.16 Species Outside Groups; 1.4.5 Phylogeny of the Genus Lactobacillus Based on Whole Genome Analysis; 1.4.6 Phylogeny and Evolution Based on Multilocus Sequence Typing; 1.4.6.1 Lactobacillus acidophilus Complex , 1.4.6.2 Lactobacillus casei1.4.6.3 Lactobacillus delbrueckii; 1.4.6.4 Lactobacillus johnsonii; 1.4.6.5 Lactobacillus paracasei; 1.4.6.6 Lactobacillus plantarum; 1.5The Genus Lactococcus; 1.5.1 History; 1.5.2 Cell Morphology and Cultural Characteristics; 1.5.3 Phylogenetic Position and Genomes; 1.5.4 Taxonomy, Phylogeney and Evolution; 1.5.5 Conclusion; 1.6Genus Leuconostoc; 1.6.1 Phylogenetic Status; 1.6.2 Current Molecule-Typing Methods Used for Leuconostoc spp.; 1.6.3 MLST Used for Leuconostoc spp.; 1.6.3.1 The Leuc. lactis MLST Scheme; 1.6.3.2 The Leuc. mesenteroides MLST Scheme , 1.6.4 Conclusion1.7The Genus Pediococcus; 1.7.1 History; 1.7.2 Cell Morphology and Cultural Characteristics; 1.7.3 Phylogenetic Position of the Pediococcus Genus; 1.7.4 Taxonomy and Phylogenesis; 1.8The Genus Streptococcus; 1.8.1 History; 1.8.2 Cell Morphology and Cultural Characteristics; 1.8.3 Phylogenetic Position and Genomes; 1.8.4 Taxonomy, Phylogeny and Evolution; 1.8.5 Conclusion; 1.9The Genus Weissella; 1.9.1 History; 1.9.2 Cell Morphology and Biochemical Characteristics; 1.9.3 Phylogenetic Position and Genomes; 1.9.4 Taxonomy and Phylogenesis; 1.9.5 Summary; References , 2 Biodiversity of Lactic Acid Bacteria

Additional Edition: ISBN 9789401788403

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-940-178-840-3

Language: English

DOI: 10.1007/978-94-017-8841-0

URL: Volltext

URL: Volltext

URL: Cover

UID:

Format: Online-Ressource , v.: digital

Edition: 2. ed.

Edition: Online-Ausg. Springer eBook Collection. Mathematics and Statistics

ISBN: 9781441968241

Series Statement: Springer Series in Statistics

Content: The routes to many important outcomes including diseases and ultimately death as well as financial credit consist of multiple complex pathways containing interrelated events and conditions. We have historically lacked effective methodologies for identifying these pathways and their non-linear and interacting features. This book focuses on recursive partitioning strategies as a response to the challenge of pathway characterization. A highlight of the second edition is the many worked examples, most of them from epidemiology, bioinformatics, molecular genetics, physiology, social demography, ban

Note: Description based upon print version of record , Recursive Partitioning and Applications; Preface; Contents; 1 Introduction; 2 A Practical Guide to TreeConstruction; 3 Logistic Regression; 4 Classification Trees for a BinaryResponse; 5 Examples Using Tree-Based Analysis; 6 Random and Deterministic Forests; 7 Analysis of Censored Data: Examples; 8 Analysis of Censored Data: Conceptsand Classical Methods; 9 Analysis of Censored Data: Survival Trees and Random Forests; 10 Regression Trees and Adaptive Splinesfor a Continuous Response; 11 Analysis of Longitudinal Data; 12 Analysis of Multiple Discrete Responses; 13 Appendix; References; Index;

Additional Edition: ISBN 9781441968234

Language: English

DOI: 10.1007/978-1-4419-6824-1

URL: Volltext  (lizenzpflichtig)

URL: Inhaltstext

UID:

Format: 1 online resource (301 p.)

Edition: 1st ed.

ISBN: 1-281-95609-0 , 9786611956097 , 981-279-670-3

Series Statement: Series in biostatistics ; v. 1

Content: This book encompasses a wide range of important topics. The articles cover the following areas: asymptotic theory and inference, biostatistics, economics and finance, statistical computing and Bayesian statistics, and statistical genetics. Specifically, the issues that are studied include large deviation, deviation inequalities, local sensitivity of model misspecification in likelihood inference, empirical likelihood confidence intervals, uniform convergence rates in density estimation, randomized designs in clinical trials, MCMC and EM algorithms, approximation of p-values in multipoint link

Note: Description based upon print version of record. , Contents ; Preface ; An Interview with Professor Yaoting Zhang ; Growing Up ; Professor Paolu Hsu and Statistics ; During the 'Culture Revolution' ; After 'Culture Revolution' ; I am Proud of My Students ; Significance Level in Interval Mapping ; 1. Introduction ; 2. Known Results , 3. A Combined Approximation 4. The Interval Mapping Process in the Gaussian Limit ; 5. Likelihood Ratio Transformation ; 6. Rice-Davies Approximation ; 7. Evaluation of (9) ; 8. Remarks ; References ; An Asymptotic Pythagorean Identity ; 1. Introduction , 2. Pythagorean Identity for Variance Calculation 3. Examples ; 4. Remarks ; References ; A Monte Carlo Gap Test in Computing HPD Regions ; 1. Introduction ; 2. Current Monte Carlo Methods ; 3. Monte Carlo Gap Tests ; 4. A Simulation Study ; 5. Concluding Remarks ; References , Estimating Restricted Normal Means Using the EM-type Algorithms and IBF Sampling 1. Introduction ; 2. Nonproduct versus Product Parameter Space ; 3. Estimation When Variances Are Known ; 4. Estimation when variances are Unknown ; 5. Applications ; 6. Discussion ; References , An Example of Algorithm Mining: Covariance Adjustment to Accelerate EM and Gibbs 1. An Overview ; 2. The Student-t Distribution ; 3. The EM Algorithm ; 4. The DA Algorithm ; 5. The PX-EM Algorithm ; 6. The PX-DA Algorithm ; 7. The CA-DA Algorithm ; 8. Discussion ; References , Large Deviations and Deviation Inequality for Kernel Density Estimator in L1(RD)-distance , English

Additional Edition: ISBN 981-238-395-6

Language: English