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1. Algebraic topology and related topics [2019]
 Singapore : Birkhäuser, [2019]
 Description
 Book — 1 online resource (xiii, 313 pages) : illustrations (some color).
 Summary

 Intro; Volume Editorial Committee; Preface; Contents; About the Editors; The Homotopy Type of the Loops on (n1)Connected (2n+1)Manifolds;
 1 Introduction; 1.1 Organization of the Paper;
 2 Quadratic Associative Algebras and Lie Algebras; 2.1 Koszul Duality of Associative Algebras; 2.2 Lie Algebras and Quadratic Algebras; 2.3 Bases of Quadratic Lie Algebras;
 3 Examples of Quadratic Algebras Coming from Manifolds;
 4 Computation of Homotopy Groups in the TorsionFree Case;
 5 Loop Space Decompositions; References; Whitehead's Asphericity Question and Its Relation to Other Open Problems
 10 Application to the Loop Space of a Finite CW ComplexReferences; Homological Infinity of 4D Universe for Every 3Manifold;
 1 Introduction;
 2 Examples on Distinctions of a 4D Punctured Universe and 4D Universes;
 3 Independence on Some Topological Indexes of a 4D Universe and a 4D Punctured Universe;
 4 A 4D Full Universe Obtained by a Collision Modification of the Spherical Shell;
 5 A Noncompact Version of the Signature Theorem for an Infinite Cyclic Covering;
 6 Infinities on the Topological Indexes of a 4D Universe and a 4D Punctured Universe
 Cham, Switzerland : Birkhäuser, [2019]
 Description
 Book — 1 online resource.
 Summary

 Intro; Preface; Analysis as a Life: To the 80th Birthday of Professor H. Begehr; Few Stories from the Scientific Lifeof Professor Heinrich Begehr; Contents; Deformation of Complex Structures and Boundary Value Problem with Shift;
 1 Heinrich Begehr and Complex Analysis Group in Georgia;
 2 Boundary Value Problem with Shift;
 3 Beltrami Parametrization and Boundary Value Problem with Shift;
 4 Almost Complex Structure;
 5 The Holomorphic Discs Equation;
 6 Relation Between Beltrami and Holomorphic Disc Equations;
 7 Relation Between Pseudoanalytic Functions and Quasiconformal Mapping; References
 Dirichlet Problem for Poisson and BiPoisson Equations in Clifford Analysis1 Introduction;
 2 Preliminaries; 2.1 Clifford Analysis Essentials; 2.2 Integral Representations in Clifford Analysis;
 3 Dirichlet Problem for Poisson Equation;
 4 Dirichlet Problem for a Second Order Linear Equation;
 5 Dirichlet Problem for BiPoisson Equation; References; Boundary Eigenvalues of Pluriharmonic Functions for the Third Boundary Condition on the Unit Polydiscs;
 1 Introduction; 1.1 The Problem; 1.2 Pluriharmonic Functions on the Unit Polydisc;
 2 Fourier Series Method
 3 Eigenvalue with Multiple EigenfunctionsReferences; Survey of Some General Properties of Meromorphic Functions in a Given Domain;
 1 Introduction;
 2 Two Principles Related to Derivatives; 2.1 Principle of Logarithmic Derivatives; 2.2 Principle of Derivatives for Simple aPoints;
 3 Results Related to Level Sets and GammaLines; 3.1 The Tangent Variation Principle and the Second Fundamental Theorem for GammaLines; 3.2 A Particular Case When is a Straight Line; 3.3 Formulas Including Integrals of L(D,) (Some Modifications of the Ahlfors' LengthArea Principle)
 3.4 On Cardinalities of the Level Sets of Functions Im w(z)4 Three Simple Consequences Related to aPoints;
 5 Ahlfors Fundamental Theorems in Terms of Windings and a New Interpretation of Deficient Values;
 6 Universal Version of Value Distribution for Functions in a Given Domain; References; Boundary Value Problems in Polydomains;
 1 Introduction;
 2 Preliminaries;
 3 Integral Representations for Functions in Cn;
 4 Schwarz Boundary Value Problem; 4.1 Schwarz Problem for Model Equation; 4.2 Schwarz Problem for Linear Equations in Cn;
 5 DirichletType Boundary Value Problems in Polydiscs
 5.1 The Properties of Integral Operators Related to G̃Dn,m5.2 Riquier Problem for Linear HigherOrder Equations in Cn; References; Completeness Theorems on the Boundary in Thermoelasticity;
 1 Introduction;
 2 The Completeness in the Sense of Picone;
 3 Elastothermostatics;
 4 The Steady Oscillation Equation;
 5 Multiple Connected Domains; References; A Circle Pattern Algorithm via Combinatorial Ricci Flows;
 1 Introduction;
 2 Preliminaries;
 3 The Iterative Process;
 4 The Convergence of Algorithm; 4.1 Convergence in Euclidean Geometry; 4.2 Convergence in Hyperbolic Geometry
 Bounceur, Ahcene, author.
 Boca Raton, Florida : CRC Press, Taylor & Francis Group, [2019]
 Description
 Book — 1 online resource.
 Summary

 1 Fundamentals on Graphs and Computational Geometry
 2 Hulls of Point Sets and Graphs
 3 Centralized Algorithms for Boundary Detection
 4 Distributed Algorithms for Boundary Detection
 5 The Simulator CupCarbon and Boundary Detection
 6 Applications.
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4. Dynamics in one nonarchimedean variable [2019]
 Benedetto, Robert L., 1972 author.
 Providence, Rhode Island : American Mathematical Society, [2019]
 Description
 Book — 1 online resource.
 Summary

 Introduction Basic dynamics on $\mathbb{P}^1(K)$ Some background on nonarchimedean fields Power series and Laurent series Fundamentals of nonarchimedean dynamics Fatou and Julia sets The Berkovich projective line Rational functions and Berkovich space Introduction to dynamics on Berkovich space Classifying Berkovich Fatou components Further results on periodic components Wandering domains Repelling points in Berkovich space The equilibrium measure Proofs of results from nonarchimedean analysis Proofs of Berkovich space results Proofs of results on Berkovich maps Fatou components without Berkovich space Other constructions of Berkovich spaces Bibliography Index.
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 Bose, Arup, author.
 Boca Raton, FL : CRC Press, Taylor & Francis Group, [2019]
 Description
 Book — 1 online resource.
 Summary

 LARGE COVARIANCE MATRIX I
 Consistency
 Covariance classes and regularization
 Covariance classes
 Covariance regularization
 Bandable p
 Parameter space
 Estimation in U
 Minimaxity
 Toeplitz p
 Parameter space
 Estimation in Gss (M) or Fss (M0, M)
 Minimaxity
 Sparse p
 Parameter space
 Estimation in U (q, C0(p), M ) or Gq (Cn, p)
 Minimaxity
 LARGE COVARIANCE MATRIX II
 Bandable p
 Models and examples
 Weak dependence
 Estimation
 Sparse p
 LARGE AUTOCOVARIANCE MATRIX III
 Models and examples
 Estimation of 0, p
 Estimation of u, p
 Parameter spaces
 Estimation
 Estimation in MA(r)
 Estimation in IVAR(r)
 Gaussian assumption
 Simulations
 SPECTRAL DISTRIBUTION
 LSD
 Moment method
 Method of Stieltjes transform
 Wigner matrix: semicircle law
 Independent matrix: Marcenko Pastur law
 Results on Z: p/n y >
 0
 Results on Z: p/n
 0
 NONCOMMUTATIVE PROBABILITY
 NCP and its convergence
 Essentials of partition theory
 Moebius function
 Partition and noncrossing partition
 Kreweras complement
 Free cumulant free independence
 Moments of free variables
 Joint convergence of random matrices
 Compound free Poisson
 GENERALIZED COVARIANCE MATRIX I
 Preliminaries
 Assumptions
 Embedding
 NCP convergence
 Main idea
 Main convergence
 LSD of symmetric polynomials
 Stieltjes transform
 Corollaries
 GENERALIZED COVARIANCE MATRIX II
 Preliminaries
 Assumptions
 Centering and Scaling
 Main idea
 NCP convergence
 LSD of symmetric polynomials
 Stieltjes transform
 Corollaries
 SPECTRA OF AUTOCOVARIANCE MATRIX I
 Assumptions
 LSD when p/n y (0, )
 MA(q), q <
 MA( )
 Application to specific cases
 LSD when p/n
 0
 Application to specific cases
 Nonsymmetric polynomials
 SPECTRA OF AUTOCOVARIANCE MATRIX II
 Assumptions
 LSD when p/n y (0, )
 MA(q), q <
 MA( )
 LSD when p/n
 0
 MA(q), q <
 MA( )
 GRAPHICAL INFERENCE
 MA order determination
 AR order determination
 Graphical tests for parameter matrices
 TESTING WITH TRACE
 One sample trace
 Two sample trace
 Testing
 SUPPLEMENTARY PROOFS
 Proof of Lemma
 Proof of Theorem (a)
 Proof of Theorem
 Proof of Lemma
 Proof of Corollary (c)
 Proof of Corollary (c)
 Proof of Corollary (c)
 Proof of Lemma
 Proof of Lemma
 Lemmas for Theorem.
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6. The unpredictability of gameplay [2019]
 Johnson, Mark R., author.
 New York, NY, USA : Bloomsbury Academic, 2019.
 Description
 Book — 1 online resource.
 Cham, Switzerland : Birkhäuser, 2018.
 Description
 Book — 1 online resource.
 Summary

 Preface. Havin's Biomathography. List of publications of Victor Havin. Reminiscences. Interpolation by the Derivatives of Operator Lipschitz Functions. Discrete Multichannel Scattering with StepLike Potential. Note on the Resonance Method for the Riemann Zeta Function. Spectra of Stationary Processes on Z. Index Formulas for Toeplitz Operators, Approximate Identities, and the WolfHavin Theorem. Bounded Point Derivations on Certain Function Algebras. Three Problems in Function Theory. Various Sharp Estimates for SemiDiscrete Riesz Transforms of the Second Order. On the Maximum Principle for the Riesz Transform. Submultiplicative Operators on CkSpaces. Isoperimetric Functional Inequalities via the Maximum Principle: the Exterior Differential Systems Approach. Fundamental Groups, Slalom Curves and Extremal Length. Sparse Bounds for Random Discrete Carleson Theorems. Nodal Sets of Laplace Eigenfunctions: Estimates of the Hausdorff Measure in Dimensions two and three. Differentiability of Solutions to the Neumann Problem with LowRegularity Data via Dynamical Systems. A Function with Support of Finite Measure and "Small" Spectrum. An Elementary Approach to Operator Lipschitz Type Estimates. Spectral Gap Properties of the Unitary Groups:around Rider's Results on nonCommutative Sidon Sets. Sublinear Equations and Schur's Test for Integral Operators.
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 Frè, P., author.
 Cham, Switzerland : Springer, 2018.
 Description
 Book — 1 online resource (xx, 556 pages) : illustrations (some color).
 Summary

 1 Finite Groups and Lie Algebras
 2 Isometries and the Geometry of COSET Manifolds
 3 Complex and Quaternionic Geometry
 4 Special Geometries
 5 Solvable Algebras and the TITS Satake Projection
 6 Black Holes and Nilpotent Orbits
 7 E7, F4 and supergravitiy scalar potentials
 8 (Hyper)Kaehler Quotients, AleManifolds and Cn/Î Singularities
 9 Epilogue
 10 The Bibliography.
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 Akutsu, Tatsuya, author.
 Singapore : World Scientific Publishing Company, [2018]
 Description
 Book — 1 online resource.
 Summary

 Intro; Contents; Preface;
 1. Preliminaries; 1.1 Boolean Functions; 1.2 Computational Complexity; 1.2.1 Big O Notation; 1.2.2 Complexity Classes; 1.2.3 Completeness; 1.3 Satisfiability Problem; 1.4 Integer Linear Programming; 1.5 Graphs; 1.6 Additional Remarks and Bibliographical Notes;
 2. Boolean Networks; 2.1 Definition of Boolean Network; 2.2 Attractors; 2.3 Robustness against Perturbation; 2.4 Asynchronous Boolean Networks; 2.5 Additional Remarks and Bibliographical Notes;
 3. Detection of Attractors; 3.1 Problem Definitions; 3.2 NPhardness of Singleton Attractor Detection
 3.3 Reduction to SAT3.4 Reduction to Integer Linear Programming; 3.5 Utilization of Feedback Vertex Sets; 3.6 Recursive Algorithms for Enumeration of Attractors; 3.6.1 Recursive Algorithm for Singleton Attractors; 3.6.2 Recursive Algorithm for Periodic Attractors; 3.7 Additional Remarks and Bibliographical Notes;
 4. Detection of Singleton Attractors; 4.1 Singleton Attractor Detection for AND/OR BNs; 4.2 Singleton Attractor Detection for ncBNs; 4.2.1 Satisfiability for Nested Canalyzing Functions; 4.2.2 Singleton Attractor Detection for ncBNs
 4.3 Attractor Detection for ncBNs with Bounded Treewidth4.4 Additional Remarks and Bibliographical Notes;
 5. Detection of Periodic Attractors; 5.1 Reduction to Singleton Attractor Detection; 5.2 2Periodic Attractor Detection for AND/OR BNs; 5.3 Periodic Attractor Detection for ncBNs; 5.4 Additional Remarks and Bibliographical Notes;
 6. Identification of Boolean Networks; 6.1 Identification from Samples; 6.1.1 Problem Definition; 6.1.2 Sample Complexity; 6.1.3 Computational Complexity; 6.2 Inference from Attractors; 6.2.1 Problem Definitions; 6.2.2 Algorithms for Inference from Attractors
 6.2.3 Network Completion Problems for AND/OR BNs6.3 Additional Remarks and Bibliographical Notes;
 7. Control of Boolean Networks; 7.1 Basic Control Problem; 7.1.1 Problem Definition; 7.1.2 Dynamic Programming Algorithm; 7.1.3 NPhardness; 7.1.4 ILPbased Method for BN Control; 7.2 Minimum Driver Sets; 7.2.1 Problem Definition and NPhardness; 7.2.2 ILPbased Method for Minimum Driver Set; 7.3 Control of Attractors; 7.4 Additional Remarks and Bibliographical Notes;
 8. Predecessor and Observability Problems; 8.1 Predecessor Detection; 8.2 Observation of Attractors
 8.2.1 Observation of Singleton Attractors8.2.2 Observation of Singleton and Periodic Attractors; 8.2.3 Relation with Feedback Vertex Sets; 8.3 Additional Remarks and Bibliographical Notes;
 9. SemiTensor Product Approach; 9.1 SemiTensor Product of Matrices; 9.2 Matrix Representation of Boolean Functions; 9.3 Matrix Representation of Boolean Networks; 9.4 Number of Attractors; 9.5 Controllability and Observability; 9.6 Additional Remarks and Bibliographical Notes;
 10. Analysis of Metabolic Networks; 10.1 Boolean Model and Reaction Cut; 10.2 Hardness of Reaction Cut
10. Almost periodic functions [1947]
 Fastperiodische Funktionen. English
 Bohr, Harald August, 18871951, author.
 Mineola, New York : Dover Publications, 2018.
 Description
 Book — 1 online resource.
 Emura, Takeshi, author.
 Singapore : Springer, 2018.
 Description
 Book — 1 online resource.
 Summary

 Chapter 1: Setting the scene.
 Chapter 2: Introduction to survival analysis.
 Chapter 3: Copula models for dependent censoring.
 Chapter 4: Gene selection under dependent censoring.
 Chapter 5: The joint frailtycopula model for metaanalysis. Chapter 6:Highdimensional covariates in the joint frailtycopula model. Chapter 7:Dynamic prediction of timetodeath.
 Chapter 8: Future developments. Appendix.
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12. Approximate quantum Markov chains [2018]
 Sutter, David, author.
 Cham, Switzerland : Springer, [2018]
 Description
 Book — 1 online resource. Digital: text file; PDF.
 Summary

 Introduction. Classical Markov chains. Quantum Markov chains. Outline. Preliminaries. Notation. Schatten norms. Functions on Hermitian operators. Quantum channels. Entropy measures. Background and further reading. Tools for noncommuting operators. Pinching. Complex interpolation theory. Background and further reading. Multivariate trace inequalities. Motivation. Multivariate ArakiLiebThirring inequality. Multivariate GoldenThompson inequality. Multivariate logarithmic trace inequality. Background and further reading. Approximate quantum Markov chains. Quantum Markov chains. Sufficient criterion for approximate recoverability. Necessary criterion for approximate recoverability. Strengthened entropy inequalities. Background and further reading. A A large conditional mutual information does not imply bad recovery. B Example showing the optimality of the Lmaxterm. C Solutions to exercises. References. Index.
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13. Bayesian regression modeling with INLA [2018]
 Wang, Xiaofeng (Professor of medicine) author.
 Boca Raton : CRC Press, 2018.
 Description
 Book — 1 online resource.
 Summary

 1.Introduction Quick Start Hubble's Law Standard Analysis
 Bayesian Analysis
 INLA
 Bayes Theory
 Prior and Posterior Distributions
 Model Checking
 Model Selection
 Hypothesis testing
 Bayesian Computation
 Exact
 Sampling
 Approximation
 2.Theory of INLA Latent Gaussian Models (LGMs)
 Gaussian Markov Random Fields (GMRFs)
 Laplace Approximation and INLA
 INLA Problems
 Extensions
 3.Bayesian Linear Regression Introduction
 Bayesian Inference for Linear Regression
 Prediction
 Model Selection and Checking
 Model Selection by DIC
 Posterior Predictive Model Checking
 Crossvalidation Model Checking
 Bayesian Residual Analysis
 Robust Regression
 Analysis of Variance
 Ridge Regression for Multicollinearity
 Regression with Autoregressive Errors
 4.Generalized Linear Models GLMs
 Binary Responses
 Count Responses
 Poisson Regression
 Negative binomial regression
 Modeling Rates
 Gamma Regression for Skewed Data
 Proportional Responses
 Modeling Zeroinflated Data
 5.Linear Mixed and Generalized Linear Mixed Models Linear Mixed Models
 Single Random Effect
 Choice of Priors
 Random Effects
 Longitudinal Data
 Random Intercept
 Random Slope and Intercept
 Prediction
 Classical Zmatrix Model
 Ridge Regression Revisited
 Generalized Linear Mixed Models
 Poisson GLMM
 Binary GLMM
 Improving the Approximation
 6.Survival Analysis Introduction
 Semiparametric Models
 Piecewise Constant Baseline Hazard Models
 Stratified Proportional Hazards Models
 Accelerated Failure Time Models
 Model Diagnosis
 Interval Censored Data
 Frailty Models
 Joint Modeling of Longitudinal and Timetoevent Data
 7.Random Walk Models for Smoothing Methods Introduction
 Smoothing Splines
 Random Walk (RW) Priors for Equallyspaced Locations Choice of Priors on s e and sf Random Walk Models for Nonequally Spaced Locations Thinplate Splines
 Thinplate Splines on Regular Lattices
 Thinplate Splines at Irregularlyspaced Locations
 Besag Spatial Model
 Penalized Regression Splines (Psplines)
 Adaptive Spline Smoothing
 Generalized Nonparametric Regression Models
 Excursion Set with Uncertainty
 8.Gaussian Process Regression Introduction
 Penalized Complexity Priors
 Credible Bands for Smoothness
 Nonstationary Fields
 Interpolation with Uncertainty
 Survival Response
 9.Additive and Generalized Additive Models Additive Models
 Generalized Additive Models
 Binary response
 Count response
 Generalized Additive Mixed Models
 10.ErrorsinVariables Regression Introduction
 Classical ErrorsinVariables Models
 A simple linear model with heteroscedastic errorsinvariables A general exposure model with replicated measurements Berkson ErrorsinVariables Models
 11.Miscellaneous Topics in INLA Splines as a Mixed Model
 Truncated Power Basis Splines
 O'Sullivan Splines
 Example: Canadian Income Data
 Analysis of Variance for Functional Data
 Extreme Values
 Density Estimation using INLA
 Appendix A Installation Appendix B Uninformative Priors in Linear Regression Index.
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 Online

 ProQuest Ebook Central Access limited to 3 simultaneous users
 Google Books (Full view)
 Princeton, New Jersey : Princeton University Press, [2018]
 Description
 Book — 1 online resource.
 Online

 ProQuest Ebook Central Access limited to 1 user
 Google Books (Full view)
 Mukanova, Balgaisha, author.
 Cham, Switzerland : Springer, 2018.
 Description
 Book — 1 online resource. Digital: text file; PDF.
 Summary

 Chap1: Introduction. Chap2: Mathematical background. Chap3: Electrical Survey Technique and Mathematical Models. Chap4: The Boundary Element Method (BEM) in ERT Direct and Inverse Problems. Chap5: BEM in the Sounding of Media with Ground Surface Relief. Chap6: Conclusions and Future Directions of Research.
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 Levin, A. L., 1944 author.
 Cham, Switzerland : Springer, 2018.
 Description
 Book — 1 online resource.
 Summary

 Introduction. Statement of Main Results. Potential Theoretic Estimates. Restricted Range Inequalities. Bounds for Christoffel Functions. Spacing of Zeros. Bounds on Orthogonal Polynomials. MarkovBernstein Inequalities in L. Discretization of Potentials. Derivatives of Discretized Polynomials. Weighted Polynomial Approximations. Formulae Involving BernstainSzego Polynomials. Asymptotics of Orthonormal Polynomials. Further Bounds. Universality Limits and Entropy Integrals.
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 Boca Raton, Florida : CRC Press, 2018.
 Description
 Book — 1 online resource (pages ; cm.) :.
 Summary

 I Introductory Part
 Basic concepts of capturerecapture  Dankmar Bohning, John Bunge, and Peter G.M. van der Heijden
 II Ratio Regression Models
 Ratio regression and capturerecapture  Marco Alfo, Dankmar Bohning and Irene Rocchetti
 The ConwayMaxwellPoisson distribution and capturerecapture count data  Antonello Maruotti and Orasa Anan
 The geometric distribution, the ratio plot under the null and the burden of Dengue Fever in Chiang Mai province  Dankmar Bohning and Veerasak Punyapornwithaya
 A ratio regression approach to estimate the size of the Salmonella infected flock population using validation information  Carla Azevedo, Dankmar Bohning and Mark Arnold
 III MetaAnalysis in CaptureRecapture
 On metaanalysis in capturerecapture  John Bunge
 A case study on maritime accidents using metaanalysis in capturerecapture  Dankmar Bohning and John Bunge
 A metaanalytic generalization of the LincolnPetersenestimator for markandresight studies  Dankmar Bohning, Mehmet Orman, Timur Kose, and John Bunge
 IV Extensions of Single Source Models
 Estimating the population size via the empirical probability generating function  John Bunge and Sarah Sernaker
 Convex estimation  Cecile Durot, Jade Giguelay, Sylvie Huet, Francois Koladjo, and Stephane Robin
 Nonparametric estimation of the population size using the empirical probability generating function  Pedro Puig
 Extending the truncated Poisson regression model to a timeatrisk model  Maarten J.L.F. Cruyff, Thomas F. Husken, and Peter G.M. van der Heijden
 Extensions of the Chaoestimator for covariate information: Poisson case  Alberto VidalDiez and Dankmar Bohning
 Population size estimation for oneinflated count data based upon the geometric distribution  Panicha Kaskasamkul and Dankmar Bohning
 V Multiple Sources
 Dual and multiple system estimation: fully observed and incomplete covariates  Peter G.M. van der Heijden, Maarten Cruyff, Joe Whittaker, Bart F.M. Bakker and Paul A. Smith
 Population size estimation in CRC Models with continuous covariates  Eugene Zwane
 Trimmed dual system estimation  LiChun Zhang and John Dunne
 Estimation of nonregistered usual residents in the Netherlands  Bart F. M. Bakker, Peter G. M. van der Heijden, and Susanna C. Gerritse
 VI Latent Variable Models
 Population size estimation using a categorical latent variable  Elena Stanghellini and Maria Giovanna Ranalli
 Latent class  Rasch models and marginal extensions  Francesco Bartolucci and Antonio Forcina
 Performance of hierarchical loglinear models for a heterogeneous population with three lists  Zhiyuan Ma, Chang Xuan Mao, and Yitong Yang
 A multidimensional Rasch model for multiple system estimation where the number of lists changes over time  Elvira Pelle, David J. Hessen, and Peter G. M. van der Heijden
 Extending the LincolnPetersen estimator when both sources are counts  Rattana Lerdsuwansri and Dankmar Bohning
 VII Bayesian Approaches
 Objective Bayes estimation of the population size using Kemp distributions  Kathryn Barger and John Bunge
 Bayesian population size estimation with censored counts  Danilo Alunni Fegatelli, Alessio Farcomeni, and Luca Tardella
 VIII Miscellaneous Topics
 Uncertainty assessment in capturerecapture studies and the choice of sampling effort  Dankmar Bohning, John Bunge, and Peter G.M. van der Heijden.
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 Online

 ProQuest Ebook Central Access limited to 3 simultaneous users
 Google Books (Full view)
 Cham, Switzerland : Springer, 2018.
 Description
 Book — 1 online resource (xvii, 242 pages) : illustrations (some color).
 Summary

 Rank Properties for Centred Threeway Arrays  C. Albers (Univ. of Groningen) et al. Principal Component Analysis of Complex Data and Application to Climatology  S. Camiz (La Sapienza Univ. of Rome) et al. Clustering upper level units in multilevel models for ordinal data  L. Grilli (Univ. of Florence) et al. A Multilevel Heckman Model To Investigate Financial Assets Among Old People In Europe  O. Paccagnella (univ. of Padua) et al. Multivariate stochastic downscaling with semicontinuous data  L. Paci (univ. of Bologna) et al. Motivations and expectations of students' mobility abroad: a mapping technique  V. Caviezel (Univ. of Bergamo) et al. Comparing multistep ahead forecasting functions for time series clustering  M. Corduas (Univ. of Naples Federico II) et al. Electre TriMachine Learning Approach to the Record Linkage  V. Minnetti (La Sapienza Univ. of Rome) et al. . MCA Based Community Detection  C. Drago (Univ. of Rome Niccolo Cusano). Classi fying social roles by network structures  S. Gozzo (univ. of Catania) et al. Bayesian Networks For Financial Markets Signals Detection  A. Greppi (univ.of Pavia) et al. Finite sample behaviour of MLE in network autocorrelation models  M. La Rocca (Univ. of Salerno) et al. Classification Models as Tools of Bankruptcy Prediction  Polish Experience  J. Pochiecha (Cracow university) et al. Clustering macroseismic fields by statistical data depth functions  C. Agostinelli (Univ. of Trento). Depth based tests for circular antipodal symmetry  G. Pandolfo (Univ. of Cassino) et al. Estimating The Effect Of Prenatal Care On Birth Outcomes  E. Sironi (Sacro Cuore University) et al. Bifurcations And Sunspots In Continuous Time Optimal Models With Externalities  B.Venturi (Univ. of Cagliari) et al. Enhancing Big Data Exploration with Faceted Browsing  S. Bergamaschi (Univ. of Modena and Reggio Emilia) et al. Big data meet pharmaceutical industry: an application on social media data  C. Liberati (Univ. of Milan Bicocca) et al. From Big Data to information: statistical issues through a case study  S. Signorelli (Univ. of Bergamo) et al. Quality of Classification approaches for the quantitative analysis of international conflict  A.F.X. Wilhelm (Jacobs Univ. Bremen). Psplines based clustering as a general framework: some applications using different clustering algorithms  C. Iorio (Univ. of Naples Federico II) et al. A graphical copulabased tool for detecting tail dependence  R. Pappada (univ. of Trieste) et al. Comparing spatial and spatiotemporal FPCA to impute large continuous gaps in space  M. Ruggeri (Univ. of Palermo) et al. Exploring Italian students' performances in the SNV test: a quantile regression perspective  A. Costanzo (National Institute for the Evaluation of Education and Training  INVALSI) et al.
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19. Complements of higher mathematics [2018]
 Marin, Marin, author.
 Cham, Switzerland : Springer, 2018.
 Description
 Book — 1 online resource.
 Summary

 Complex Functions. Special Functions. Operational Calculus. Fourier's Transform. Calculus of Variations. Quasilinear Equations. Hyperbolical Equations. Parabolic Equations. Elliptic Partial Differential Equations. Optimal Control.
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 Barbu, Viorel, 1941 author.
 Cham, Switzerland : Birkhäuser, 2018.
 Description
 Book — 1 online resource.