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MARC Lista (tabellare)
Contemporary Experimental Design, Multivariate Analysis and Data Mining [[electronic resource] ] : Festschrift in Honour of Professor Kai-Tai Fang / / edited by Jianqing Fan, Jianxin Pan
Contemporary Experimental Design, Multivariate Analysis and Data Mining [[electronic resource] ] : Festschrift in Honour of Professor Kai-Tai Fang / / edited by Jianqing Fan, Jianxin Pan
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (xvii, 386 pages)
Disciplina 006.312
Soggetto topico Statistics 
Data mining
Big data
Statistical Theory and Methods
Data Mining and Knowledge Discovery
Big Data
Statistics for Life Sciences, Medicine, Health Sciences
ISBN 3-030-46161-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Part I Review of Kai-Tai Fang’s Contribution -- 1 Walking on the Road to the Statistical Pyramid -- 2 The contribution to experimental designs by Kai-Tai Fang -- 3 From “Clothing Standard” to “Chemometrics” -- 4 A Review of Professor Kai-Tai Fang’s Contribution to the Education, Promotion, and Advancement of Statistics in China -- Part II Design of Experiments -- 5 Is a Transformed Low Discrepancy Design Also Low Discrepancy? -- 6 The construction of optimal design for order-of-addition experiment via threshold accepting -- 7 Construction of Uniform Designs on Arbitrary Domains by Inverse Rosenblatt Transformation -- 8 Drug Combination Studies, Uniform Experimental Design and Extensions -- 9 Modified robust design criteria for Poisson mixed models -- 10 Study of Central Composite Design and Orthogonal Array Composite Design -- 11 Uniform design on manifold -- Part III Multivariate Analysis -- 12 An Application of the Theory of Spherical Distributions in Multiple Mean Comparison -- 13 Estimating the Location Vector for Spherically Symmetric Distributions -- 14 On equidistant designs, symmetries and their violations in multivariate models -- 15 Estimation of covariance matrix with ARMA structure through quadratic loss function -- Part IV Data Mining -- 16 Depth Importance in Precision Medicine (DIPM): A Tree and Forest Based Method -- 17 Bayesian Mixture Models with Weight-Dependent Component Priors -- 18 Cosine Similarity-Based Classifiers for Functional Data -- Part V Hypothesis Test and Statistical Models -- 19 Projection Test with Sparse Optimal Direction for High-dimensional One Sample Mean Problem -- 20 Goodness-of-fit tests for correlated bilateral data from multiple groups -- 21 A Bilinear Reduced Rank Model -- 22 Simultaneous multiple change points estimation in generalized linear models -- 23 Data-Based Priors for Bayesian Model Averaging -- 24 Quantile regression with Gaussian kernels.
Record Nr. UNISA-996418264803316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Contemporary Experimental Design, Multivariate Analysis and Data Mining : Festschrift in Honour of Professor Kai-Tai Fang / / edited by Jianqing Fan, Jianxin Pan
Contemporary Experimental Design, Multivariate Analysis and Data Mining : Festschrift in Honour of Professor Kai-Tai Fang / / edited by Jianqing Fan, Jianxin Pan
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (xvii, 386 pages)
Disciplina 006.312
519.5
Soggetto topico Statistics 
Data mining
Big data
Statistical Theory and Methods
Data Mining and Knowledge Discovery
Big Data
Statistics for Life Sciences, Medicine, Health Sciences
ISBN 3-030-46161-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Part I Review of Kai-Tai Fang’s Contribution -- 1 Walking on the Road to the Statistical Pyramid -- 2 The contribution to experimental designs by Kai-Tai Fang -- 3 From “Clothing Standard” to “Chemometrics” -- 4 A Review of Professor Kai-Tai Fang’s Contribution to the Education, Promotion, and Advancement of Statistics in China -- Part II Design of Experiments -- 5 Is a Transformed Low Discrepancy Design Also Low Discrepancy? -- 6 The construction of optimal design for order-of-addition experiment via threshold accepting -- 7 Construction of Uniform Designs on Arbitrary Domains by Inverse Rosenblatt Transformation -- 8 Drug Combination Studies, Uniform Experimental Design and Extensions -- 9 Modified robust design criteria for Poisson mixed models -- 10 Study of Central Composite Design and Orthogonal Array Composite Design -- 11 Uniform design on manifold -- Part III Multivariate Analysis -- 12 An Application of the Theory of Spherical Distributions in Multiple Mean Comparison -- 13 Estimating the Location Vector for Spherically Symmetric Distributions -- 14 On equidistant designs, symmetries and their violations in multivariate models -- 15 Estimation of covariance matrix with ARMA structure through quadratic loss function -- Part IV Data Mining -- 16 Depth Importance in Precision Medicine (DIPM): A Tree and Forest Based Method -- 17 Bayesian Mixture Models with Weight-Dependent Component Priors -- 18 Cosine Similarity-Based Classifiers for Functional Data -- Part V Hypothesis Test and Statistical Models -- 19 Projection Test with Sparse Optimal Direction for High-dimensional One Sample Mean Problem -- 20 Goodness-of-fit tests for correlated bilateral data from multiple groups -- 21 A Bilinear Reduced Rank Model -- 22 Simultaneous multiple change points estimation in generalized linear models -- 23 Data-Based Priors for Bayesian Model Averaging -- 24 Quantile regression with Gaussian kernels.
Record Nr. UNINA-9910484687403321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Contemporary multivariate analysis and design of experiments [[electronic resource] /] / edited by Jianqing Fan, Gang Li
Contemporary multivariate analysis and design of experiments [[electronic resource] /] / edited by Jianqing Fan, Gang Li
Pubbl/distr/stampa New Jersey ; ; Hong Kong, : World Scientific, c2005
Descrizione fisica 1 online resource (469 p.)
Disciplina 519.535
Altri autori (Persone) FangKaitai
FanJianqing
LiGang
Collana Series in biostatistics
Soggetto topico Multivariate analysis
Biometry
Soggetto genere / forma Electronic books.
ISBN 1-281-88083-3
9786611880835
981-256-776-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface; Contents; A Conversation with Kai-Tai Fang; A Tribute to Professor Kai-Tai Fang; Publications; Part I Multivariate Analysis; Part II Experimental Design; Part III Advances in Biostatistics; Part IV Advance in Statistics; Subject Index; Author Index
Record Nr. UNINA-9910450449103321
New Jersey ; ; Hong Kong, : World Scientific, c2005
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Contemporary multivariate analysis and design of experiments [[electronic resource] /] / edited by Jianqing Fan, Gang Li
Contemporary multivariate analysis and design of experiments [[electronic resource] /] / edited by Jianqing Fan, Gang Li
Pubbl/distr/stampa New Jersey ; ; Hong Kong, : World Scientific, c2005
Descrizione fisica 1 online resource (469 p.)
Disciplina 519.535
Altri autori (Persone) FangKaitai
FanJianqing
LiGang
Collana Series in biostatistics
Soggetto topico Multivariate analysis
Biometry
ISBN 1-281-88083-3
9786611880835
981-256-776-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface; Contents; A Conversation with Kai-Tai Fang; A Tribute to Professor Kai-Tai Fang; Publications; Part I Multivariate Analysis; Part II Experimental Design; Part III Advances in Biostatistics; Part IV Advance in Statistics; Subject Index; Author Index
Record Nr. UNINA-9910783723903321
New Jersey ; ; Hong Kong, : World Scientific, c2005
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Contemporary multivariate analysis and design of experiments / / edited by Jianqing Fan, Gang Li
Contemporary multivariate analysis and design of experiments / / edited by Jianqing Fan, Gang Li
Edizione [1st ed.]
Pubbl/distr/stampa New Jersey ; ; Hong Kong, : World Scientific, c2005
Descrizione fisica 1 online resource (469 p.)
Disciplina 519.535
Altri autori (Persone) FangKaitai
FanJianqing
LiGang
Collana Series in biostatistics
Soggetto topico Multivariate analysis
Biometry
ISBN 1-281-88083-3
9786611880835
981-256-776-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface; Contents; A Conversation with Kai-Tai Fang; A Tribute to Professor Kai-Tai Fang; Publications; Part I Multivariate Analysis; Part II Experimental Design; Part III Advances in Biostatistics; Part IV Advance in Statistics; Subject Index; Author Index
Record Nr. UNINA-9910819689603321
New Jersey ; ; Hong Kong, : World Scientific, c2005
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Frontiers in statistics [[electronic resource] ] : dedicated to Peter John Bickel in honor of his 65th birthday / / Editors, Jianqing Fan, Hira L. Koul
Frontiers in statistics [[electronic resource] ] : dedicated to Peter John Bickel in honor of his 65th birthday / / Editors, Jianqing Fan, Hira L. Koul
Pubbl/distr/stampa London, : Imperial College Press, c2006
Descrizione fisica 1 online resource (552 p.)
Disciplina 519.5
Altri autori (Persone) BickelPeter J
FanJianqing
KoulH. L (Hira L.)
Soggetto topico Mathematical statistics
Soggetto genere / forma Electronic books.
ISBN 1-281-86735-7
9786611867355
1-86094-888-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Contents; 1. Our Steps on the Bickel Way; 1.1 Introduction; 1.2 Doing Well at a Point and Beyond; 1.3 Robustness Transformations Oracle-free Inference and Stable Parameters; 1.4 Distribution Free Tests Higher Order Expansions and Challenging Projects; 1.5 From Adaptive Estimation to Semiparametric Models; 1.6 Hidden Markov Models; 1.7 Non- and Semi-parametric Testing; 1.8 The Road to Real Life; References; Bickel's Publication; Part I. Semiparametric Modeling; 2. Semiparametric Models: A Review of Progress since BKRW (1993); 2.1 Introduction; 2.2 Missing Data Models
2.3 Testing and Profile Likelihood Theory2.4 Semiparametric Mixture Model Theory; 2.5 Rates of Convergence via Empirical Process Methods; 2.6 Bayes Methods and Theory; 2.7 Model Selection Methods; 2.8 Empirical Likelihood; 2.9 Transformation and Frailty Models; 2.10 Semiparametric Regression Models; 2.11 Extensions to Non-i.i.d. Data; 2.12 Critiques and Possible Alternative Theories; References; 3. Efficient Estimator for Time Series; 3.1 Introduction; 3.2 Characterization of Efficient Estimators; 3.3 Autoregression Parameter; 3.4 Innovation Distribution; 3.5 Innovation Density
3.6 Conditional Expectation3.7 Stationary Distribution; 3.8 Stationary Density; 3.9 Transition Density; References; 4. On the Efficiency of Estimation for a Single-index Model; 4.1 Introduction; 4.2 Estimation via Outer Product of Gradients; 4.3 Global Minimization Estimation Methods; 4.4 Sliced Inverse Regression Method; 4.5 Asymptotic Distributions; 4.6 Comparisons in Some Special Cases; 4.7 Proofs of the Theorems; References; 5. Estimating Function Based Cross-Validation; 5.1 Introduction; 5.2 Estimating Function Based Cross-Validation; 5.3 Some Examples; 5.4 General Finite Sample Result
5.5 AppendixReferences; Part II. Nonparametric Methods; 6. Powerful Choices: Tuning Parameter Selection Based on Power; 6.1 Introduction: Local Testing and Asymptotic Power; 6.2 Maximizing Asymptotic Power; 6.3 Examples; 6.4 Appendix; References; 7. Nonparametric Assessment of Atypicality; 7.1 Introduction; 7.2 Estimating Atypicality; 7.3 Theoretical Properties; 7.4 Numerical Properties; 7.5 Outline of Proof of Theorem 7.1; References; 8. Selective Review on Wavelets in Statistics; 8.1 Introduction; 8.2 Wavelets; 8.3 Nonparametric Regression; 8.4 Inverse Problems; 8.5 Change-points
8.6 Local Self-similarity and Non-stationary Stochastic Process8.7 Beyond Wavelets; References; 9. Model Diagnostics via Martingale Transforms: A Brief Review; 9.1 Introduction; 9.2 Lack-of-fit Tests; 9.3 Censoring; 9.4 Khamaladze Transform or Bootstrap; References; Part III. Statistical Learning and Bootstrap; 10. Boosting Algorithms: with an Application to Bootstrapping Multivariate Time Series; 10.1 Introduction; 10.2 Boosting and Functional Gradient Descent; 10.3 L2-Boosting for High-dimensional Multivariate Regression; 10.4 L2-Boosting for Multivariate Linear Time Series; References
11. Bootstrap Methods: A Review
Record Nr. UNINA-9910453214803321
London, : Imperial College Press, c2006
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Frontiers in statistics [[electronic resource] ] : dedicated to Peter John Bickel in honor of his 65th birthday / / Editors, Jianqing Fan, Hira L. Koul
Frontiers in statistics [[electronic resource] ] : dedicated to Peter John Bickel in honor of his 65th birthday / / Editors, Jianqing Fan, Hira L. Koul
Pubbl/distr/stampa London, : Imperial College Press, c2006
Descrizione fisica 1 online resource (552 p.)
Disciplina 519.5
Altri autori (Persone) BickelPeter J
FanJianqing
KoulH. L (Hira L.)
Soggetto topico Mathematical statistics
ISBN 1-281-86735-7
9786611867355
1-86094-888-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Contents; 1. Our Steps on the Bickel Way; 1.1 Introduction; 1.2 Doing Well at a Point and Beyond; 1.3 Robustness Transformations Oracle-free Inference and Stable Parameters; 1.4 Distribution Free Tests Higher Order Expansions and Challenging Projects; 1.5 From Adaptive Estimation to Semiparametric Models; 1.6 Hidden Markov Models; 1.7 Non- and Semi-parametric Testing; 1.8 The Road to Real Life; References; Bickel's Publication; Part I. Semiparametric Modeling; 2. Semiparametric Models: A Review of Progress since BKRW (1993); 2.1 Introduction; 2.2 Missing Data Models
2.3 Testing and Profile Likelihood Theory2.4 Semiparametric Mixture Model Theory; 2.5 Rates of Convergence via Empirical Process Methods; 2.6 Bayes Methods and Theory; 2.7 Model Selection Methods; 2.8 Empirical Likelihood; 2.9 Transformation and Frailty Models; 2.10 Semiparametric Regression Models; 2.11 Extensions to Non-i.i.d. Data; 2.12 Critiques and Possible Alternative Theories; References; 3. Efficient Estimator for Time Series; 3.1 Introduction; 3.2 Characterization of Efficient Estimators; 3.3 Autoregression Parameter; 3.4 Innovation Distribution; 3.5 Innovation Density
3.6 Conditional Expectation3.7 Stationary Distribution; 3.8 Stationary Density; 3.9 Transition Density; References; 4. On the Efficiency of Estimation for a Single-index Model; 4.1 Introduction; 4.2 Estimation via Outer Product of Gradients; 4.3 Global Minimization Estimation Methods; 4.4 Sliced Inverse Regression Method; 4.5 Asymptotic Distributions; 4.6 Comparisons in Some Special Cases; 4.7 Proofs of the Theorems; References; 5. Estimating Function Based Cross-Validation; 5.1 Introduction; 5.2 Estimating Function Based Cross-Validation; 5.3 Some Examples; 5.4 General Finite Sample Result
5.5 AppendixReferences; Part II. Nonparametric Methods; 6. Powerful Choices: Tuning Parameter Selection Based on Power; 6.1 Introduction: Local Testing and Asymptotic Power; 6.2 Maximizing Asymptotic Power; 6.3 Examples; 6.4 Appendix; References; 7. Nonparametric Assessment of Atypicality; 7.1 Introduction; 7.2 Estimating Atypicality; 7.3 Theoretical Properties; 7.4 Numerical Properties; 7.5 Outline of Proof of Theorem 7.1; References; 8. Selective Review on Wavelets in Statistics; 8.1 Introduction; 8.2 Wavelets; 8.3 Nonparametric Regression; 8.4 Inverse Problems; 8.5 Change-points
8.6 Local Self-similarity and Non-stationary Stochastic Process8.7 Beyond Wavelets; References; 9. Model Diagnostics via Martingale Transforms: A Brief Review; 9.1 Introduction; 9.2 Lack-of-fit Tests; 9.3 Censoring; 9.4 Khamaladze Transform or Bootstrap; References; Part III. Statistical Learning and Bootstrap; 10. Boosting Algorithms: with an Application to Bootstrapping Multivariate Time Series; 10.1 Introduction; 10.2 Boosting and Functional Gradient Descent; 10.3 L2-Boosting for High-dimensional Multivariate Regression; 10.4 L2-Boosting for Multivariate Linear Time Series; References
11. Bootstrap Methods: A Review
Record Nr. UNINA-9910782327103321
London, : Imperial College Press, c2006
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Frontiers in statistics : dedicated to Peter John Bickel in honor of his 65th birthday / / Editors, Jianqing Fan, Hira L. Koul
Frontiers in statistics : dedicated to Peter John Bickel in honor of his 65th birthday / / Editors, Jianqing Fan, Hira L. Koul
Edizione [1st ed.]
Pubbl/distr/stampa London, : Imperial College Press, c2006
Descrizione fisica 1 online resource (552 p.)
Disciplina 519.5
Altri autori (Persone) BickelPeter J
FanJianqing
KoulH. L (Hira L.)
Soggetto topico Mathematical statistics
ISBN 1-281-86735-7
9786611867355
1-86094-888-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Contents; 1. Our Steps on the Bickel Way; 1.1 Introduction; 1.2 Doing Well at a Point and Beyond; 1.3 Robustness Transformations Oracle-free Inference and Stable Parameters; 1.4 Distribution Free Tests Higher Order Expansions and Challenging Projects; 1.5 From Adaptive Estimation to Semiparametric Models; 1.6 Hidden Markov Models; 1.7 Non- and Semi-parametric Testing; 1.8 The Road to Real Life; References; Bickel's Publication; Part I. Semiparametric Modeling; 2. Semiparametric Models: A Review of Progress since BKRW (1993); 2.1 Introduction; 2.2 Missing Data Models
2.3 Testing and Profile Likelihood Theory2.4 Semiparametric Mixture Model Theory; 2.5 Rates of Convergence via Empirical Process Methods; 2.6 Bayes Methods and Theory; 2.7 Model Selection Methods; 2.8 Empirical Likelihood; 2.9 Transformation and Frailty Models; 2.10 Semiparametric Regression Models; 2.11 Extensions to Non-i.i.d. Data; 2.12 Critiques and Possible Alternative Theories; References; 3. Efficient Estimator for Time Series; 3.1 Introduction; 3.2 Characterization of Efficient Estimators; 3.3 Autoregression Parameter; 3.4 Innovation Distribution; 3.5 Innovation Density
3.6 Conditional Expectation3.7 Stationary Distribution; 3.8 Stationary Density; 3.9 Transition Density; References; 4. On the Efficiency of Estimation for a Single-index Model; 4.1 Introduction; 4.2 Estimation via Outer Product of Gradients; 4.3 Global Minimization Estimation Methods; 4.4 Sliced Inverse Regression Method; 4.5 Asymptotic Distributions; 4.6 Comparisons in Some Special Cases; 4.7 Proofs of the Theorems; References; 5. Estimating Function Based Cross-Validation; 5.1 Introduction; 5.2 Estimating Function Based Cross-Validation; 5.3 Some Examples; 5.4 General Finite Sample Result
5.5 AppendixReferences; Part II. Nonparametric Methods; 6. Powerful Choices: Tuning Parameter Selection Based on Power; 6.1 Introduction: Local Testing and Asymptotic Power; 6.2 Maximizing Asymptotic Power; 6.3 Examples; 6.4 Appendix; References; 7. Nonparametric Assessment of Atypicality; 7.1 Introduction; 7.2 Estimating Atypicality; 7.3 Theoretical Properties; 7.4 Numerical Properties; 7.5 Outline of Proof of Theorem 7.1; References; 8. Selective Review on Wavelets in Statistics; 8.1 Introduction; 8.2 Wavelets; 8.3 Nonparametric Regression; 8.4 Inverse Problems; 8.5 Change-points
8.6 Local Self-similarity and Non-stationary Stochastic Process8.7 Beyond Wavelets; References; 9. Model Diagnostics via Martingale Transforms: A Brief Review; 9.1 Introduction; 9.2 Lack-of-fit Tests; 9.3 Censoring; 9.4 Khamaladze Transform or Bootstrap; References; Part III. Statistical Learning and Bootstrap; 10. Boosting Algorithms: with an Application to Bootstrapping Multivariate Time Series; 10.1 Introduction; 10.2 Boosting and Functional Gradient Descent; 10.3 L2-Boosting for High-dimensional Multivariate Regression; 10.4 L2-Boosting for Multivariate Linear Time Series; References
11. Bootstrap Methods: A Review
Record Nr. UNINA-9910827232803321
London, : Imperial College Press, c2006
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
New developments in biostatistics and bioinformatics [[electronic resource] /] / editors, Jianqing Fan, Xihong Lin, Jun S. Liu
New developments in biostatistics and bioinformatics [[electronic resource] /] / editors, Jianqing Fan, Xihong Lin, Jun S. Liu
Pubbl/distr/stampa Beijing, China, : Higher Education Press
Descrizione fisica 1 online resource (295 p.)
Disciplina 570.1/5195
Altri autori (Persone) FanJianqing
LinXihong
LiuJun S
Collana Frontiers of statistics
Soggetto topico Biometry
Bioinformatics
Soggetto genere / forma Electronic books.
ISBN 1-282-44276-7
9786612442766
981-283-744-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface; Contents; Part I Analysis of Survival and Longitudinal Data; Chapter 1 Non- and Semi- Parametric Modeling in Survival Analysis Jianqing Fan, Jiancheng Jiang.; Chapter 2 Additive-Accelerated Rate Model for Recurrent Event Donglin Zeng, Jianwen Cai; Chapter 3 An Overview on Quadratic Inference Function Approaches for Longitudinal Data John J. Dziak, Runze Li, Annie Qu; Chapter 4 Modeling and Analysis of Spatially Correlated Data Yi Li; Part II Statistical Methods for Epidemiology; Chapter 5 Study Designs for Biomarker-Based Treatment Selection Amy Laird, Xiao-Hua Zhou.
Chapter 6 Statistical Methods for Analyzing Two-Phase Studies Jinbo ChenPart III Bioinformatics; Chapter 7 Protein Interaction Predictions from Diverse Sources Yin Liu, Inyoung Kim, Hongyu Zhao; Chapter 8 Regulatory Motif Discovery: From Decoding to Meta-Analysis Qing Zhou, Mayetri Gupta; Chapter 9 Analysis of Cancer Genome Alterations Using Single Nucleotide Polymorphism (SNP) Microarrays Cheng Li, Samir Amin; Chapter 10 Analysis of ChIP-chip Data on Genome Tiling Microarrays W. Evan Johnson, Jun S. Liu, X. Shirley Liu; Subject Index.; Author Index
Record Nr. UNINA-9910456949203321
Beijing, China, : Higher Education Press
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
New developments in biostatistics and bioinformatics [[electronic resource] /] / editors, Jianqing Fan, Xihong Lin, Jun S. Liu
New developments in biostatistics and bioinformatics [[electronic resource] /] / editors, Jianqing Fan, Xihong Lin, Jun S. Liu
Pubbl/distr/stampa Beijing, China, : Higher Education Press
Descrizione fisica 1 online resource (295 p.)
Disciplina 570.1/5195
Altri autori (Persone) FanJianqing
LinXihong
LiuJun S
Collana Frontiers of statistics
Soggetto topico Biometry
Bioinformatics
ISBN 1-282-44276-7
9786612442766
981-283-744-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface; Contents; Part I Analysis of Survival and Longitudinal Data; Chapter 1 Non- and Semi- Parametric Modeling in Survival Analysis Jianqing Fan, Jiancheng Jiang.; Chapter 2 Additive-Accelerated Rate Model for Recurrent Event Donglin Zeng, Jianwen Cai; Chapter 3 An Overview on Quadratic Inference Function Approaches for Longitudinal Data John J. Dziak, Runze Li, Annie Qu; Chapter 4 Modeling and Analysis of Spatially Correlated Data Yi Li; Part II Statistical Methods for Epidemiology; Chapter 5 Study Designs for Biomarker-Based Treatment Selection Amy Laird, Xiao-Hua Zhou.
Chapter 6 Statistical Methods for Analyzing Two-Phase Studies Jinbo ChenPart III Bioinformatics; Chapter 7 Protein Interaction Predictions from Diverse Sources Yin Liu, Inyoung Kim, Hongyu Zhao; Chapter 8 Regulatory Motif Discovery: From Decoding to Meta-Analysis Qing Zhou, Mayetri Gupta; Chapter 9 Analysis of Cancer Genome Alterations Using Single Nucleotide Polymorphism (SNP) Microarrays Cheng Li, Samir Amin; Chapter 10 Analysis of ChIP-chip Data on Genome Tiling Microarrays W. Evan Johnson, Jun S. Liu, X. Shirley Liu; Subject Index.; Author Index
Record Nr. UNINA-9910780920203321
Beijing, China, : Higher Education Press
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui