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Probability & Statistics - Multivariate Analysis

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Applied Spatial Statistics and Econometrics: Data Analysis in R
by Kopczewska, Katarzyna       
(Hardcover - English - 9780367470777)
This textbook is a comprehensive introduction to applied spatial data analysis using R. Each chapter walks the reader through a different method, explaining how to interpret the results and what conclusions can be drawn. The author team showcases key topics, including unsupervised learning, causal inference, spatial weight matrices, spatial econometrics, heterogeneity and bootstrapping. It is accompanied by a suite of data and R code on Github to help readers practise techniques via replication and exercises. This text will be a valuable resource for advanced students of econometrics, spatial planning and regional science. It will also be suitable for researche ..
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Buku Special Order biasanya dipenuhi dalam 4-7 minggu. Tidak bisa menggabungkan buku ini dengan buku lain dalam satu order. Buku dikirim kurir lokal dengan nomor lacak
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Rp. 4.770.000
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Rp. 4.056.000
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Circular and Linear Regression: Fitting Circles and Lines by Least Squares
by Chernov, Nikolai       
(Paperback - English - 9780367577179)
Find the right algorithm for your image processing application Exploring the recent achievements that have occurred since the mid-1990s, strong Circular and Linear Regression: Fitting Circles and Lines by Least Squares strong explains how to use modern algorithms to fit geometric contours (circles and circular arcs) to observed data in image processing and computer vision. The author covers all facets--geometric, statistical, and computational--of the methods. He looks at how the numerical algorithms relate to one another through underlying ideas, compares the strengths and weaknesses of each algorithm, and illustrates how to combine the algorithms to achie ..
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Buku Special Order biasanya dipenuhi dalam 4-7 minggu. Tidak bisa menggabungkan buku ini dengan buku lain dalam satu order. Buku dikirim kurir lokal dengan nomor lacak
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Rp. 1.716.000
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Rp. 1.459.000
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Data Analysis with Mplus
by Geiser, Christian       
(Paperback - English - 9781462502455)
A practical introduction to using Mplus for the analysis of multivariate data, this volume provides step-by-step guidance, complete with real data examples, numerous screen shots, and output excerpts. The author shows how to prepare a data set for import in Mplus using SPSS. He explains how to specify different types of models in Mplus syntax and address typical caveats--for example, assessing measurement invariance in longitudinal SEMs. Coverage includes path and factor analytic models as well as mediational, longitudinal, multilevel, and latent class models. Specific programming tips and solution strategies are presented in boxes in each chapter. The companion ..
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Rp. 1.419.000
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Rp. 1.206.000
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Multivariate Time Series Analy
by Tsay       
(Hardcover - English - 9781118617908)
An accessible guide to the multivariate time series tools used in numerous real-world applications Multivariate Time Series Analysis: With R and Financial Applications is the much anticipated sequel coming from one of the most influential and prominent experts on the topic of time series. Through a fundamental balance of theory and methodology, the book supplies readers with a comprehensible approach to financial econometric models and their applications to real-world empirical research. Differing from the traditional approach to multivariate time series, the book focuses on reader comprehension by emphasizing structural specification, which results in simpl ..
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Rp. 3.699.000
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Rp. 3.145.000
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Structural Equation Modeling and Natural Systems
by Grace, James B.       
(Paperback - English - 9780521546539)
This book presents an introduction to the methodology of structural equation modeling, illustrates its use, and goes on to argue that it has revolutionary implications for the study of natural systems. A major theme of this book is that we have, up to this point, attempted to study systems primarily using methods (such as the univariate model) that were designed only for considering individual processes. Understanding systems requires the capacity to examine simultaneous influences and responses. Structural equation modeling (SEM) has such capabilities. It also possesses many other traits that add strength to its utility as a means of making scientific progress. ..
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Rp. 1.713.000
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Rp. 1.456.000
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Linear Mixed Models for Longitudinal Data
by Verbeke, Geert    Molenberghs, Geert   
(Paperback - English - 9781475773842)
The SAS routines on mixed models have applications in many areas of statistics, especially biostatistics, but the procedures are not well- documented. Based on short courses given by the authors, this book provides practical guidance for SAS users. ..
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Rp. 4.048.000
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Rp. 3.442.000
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Nonlinear Multivariate Analysis
by Gifi       
(Hardcover - English - 9780471926207)
This is a programmatic statement of Gifi's general philosophy and the way in which it is implemented on the digital computer. It is a non-standard treatment of multivariate data analysis, with the emphasis on plotting observations and variables in low dimensional Euclidean space. Less emphasis than usual is given to regression and analysis of variance. ..
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Rp. 11.198.000
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Rp. 9.522.000
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High-Dimensional Covariance Estimation
by Pourahmadi, Mohsen       
(Hardcover - English - 9781118034293)
Methods for estimating sparse and large covariance matrices Covariance and correlation matrices play fundamental roles in every aspect of the analysis of multivariate data collected from a variety of fields including business and economics, health care, engineering, and environmental and physical sciences. High-Dimensional Covariance Estimation provides accessible and comprehensive coverage of the classical and modern approaches for estimating covariance matrices as well as their applications to the rapidly developing areas lying at the intersection of statistics and machine learning. Recently, the classical sample covariance methodologies have been modified ..
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Rp. 2.317.000
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Rp. 1.970.000
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Modern Multivariate Statistical Techniques: Regression, Classification, and Manifold Learning
by Izenman, Alan J.       
(Hardcover - English - 9780387781884)
Remarkable advances in computation and data storage and the ready availability of huge data sets have been the keys to the growth of the new disciplines of data mining and machine learning, while the enormous success of the Human Genome Project has opened up the field of bioinformatics. These exciting developments, which led to the introduction of many innovative statistical tools for high-dimensional data analysis, are described here in detail. The author takes a broad perspective; for the first time in a book on multivariate analysis, nonlinear methods are discussed in detail as well as linear methods. Techniques covered range from traditional multivariate m ..
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Rp. 4.148.000
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Rp. 3.527.000
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Design Of Experiments
by Peralta, Mike       
(Paperback - English - 9781494378585)
Learn the fundamentals of Design of Experiments. This text will both teach you the foundation and be a practical aid to design effective experiments. Supplied is also the rarely presented algebra and statistics on which DOE (Design of Experiments) methodology is based. Also included is some foundational statistics so that the DOE algebraic derivations are understandable and the algebra derived can lead to understanding how to use the DOE relationships in subsequent calculations and analysis. Get this book and learn the rock solid methods of DOE. There are 8 well prepared exercises (with prior examples) - which if done, can make you truly understand DOE and e ..
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Rp. 539.000
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Rp. 458.000
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Discovering Partial Least Squares with Jmp
by Cox, Ian    Gaudard, Marie   
(Paperback - English - 9781612908229)
Using JMP statistical discovery software from SAS, Discovering Partial Least Squares with JMP explores Partial Least Squares and positions it within the more general context of multivariate analysis. This book motivates current and potential users of JMP to extend their analytical repertoire by embracing PLS. Dynamically interacting with JMP, you will develop confidence as you explore underlying concepts and work through the examples. The authors provide background and guidance to support and empower you on this journey. ..
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Rp. 1.520.000
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Rp. 1.292.000
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Foundations of Factor Analysis
by Mulaik, Stanley A.       
(Hardcover - English - 9781420099614)
Providing a practical, thorough understanding of how factor analysis works, strong Foundations of Factor Analysis strong strong , strong strong Second Edition strong discusses the assumptions underlying the equations and procedures of this method. It also explains the options in commercial computer programs for performing factor analysis and structural equation modeling. This long-awaited edition takes into account the various developments that have occurred since the publication of the original edition. strong New to the Second Edition strong ul li A new chapter on the multivariate normal distribution, its general properties, and the concept ..
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Rp. 3.022.000
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Rp. 2.569.000
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Dependence Modeling with Copulas
by Joe, Harry       
(Hardcover - English - 9781466583221)
strong Dependence Modeling with Copulas strong covers the substantial advances that have taken place in the field during the last 15 years, including vine copula modeling of high-dimensional data. Vine copula models are constructed from a sequence of bivariate copulas. The book develops generalizations of vine copula models, including common and structured factor models that extend from the Gaussian assumption to copulas. It also discusses other multivariate constructions and parametric copula families that have different tail properties and presents extensive material on dependence and tail properties to assist in copula model selection. The author shows ..
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Rp. 3.451.000
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Rp. 2.934.000
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Principal Component Analysis Handbook
by Cross, Rebecca       
(Hardcover - English - 9781632404169)
This book on Principal component analysis (PCA) is a significant contribution to the field of data analysis. PCA involves a statistical procedure which orthogonally transforms a set of possibly correlated observations into set of values of linearly uncorrelated variables called principal components. The aim of this book is to enhance knowledge of scientists, engineers and researchers regarding the advantages of this technique in data analysis and includes information on the uses of PCA in distinct fields like multi-sensor data fusion, ecology, energy, agriculture, climate, image and video processing, gas chromatographic examination, color coating, materials scie ..
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Rp. 2.175.000
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Rp. 1.849.000
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Modeling Count Data
by Hilbe, Joseph M.       
(Paperback - English - 9781107611252)
This entry-level text offers clear and concise guidelines on how to select, construct, interpret, and evaluate count data. Written for researchers with little or no background in advanced statistics, the book presents treatments of all major models using numerous tables, insets, and detailed modeling suggestions. It begins by demonstrating the fundamentals of modeling count data, including a thorough presentation of the Poisson model. It then works up to an analysis of the problem of overdispersion and of the negative binomial model, and finally to the many variations that can be made to the base count models. Examples in Stata, R, and SAS code enable readers to ..
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Rp. 1.117.000
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Rp. 949.000
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Modeling Count Data
by Hilbe, Joseph M.       
(Hardcover - English - 9781107028333)
This entry-level text offers clear and concise guidelines on how to select, construct, interpret, and evaluate count data. Written for researchers with little or no background in advanced statistics, the book presents treatments of all major models using numerous tables, insets, and detailed modeling suggestions. It begins by demonstrating the fundamentals of modeling count data, including a thorough presentation of the Poisson model. It then works up to an analysis of the problem of overdispersion and of the negative binomial model, and finally to the many variations that can be made to the base count models. Examples in Stata, R, and SAS code enable readers to ..
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Rp. 2.637.000
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Rp. 2.242.000
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Functional Data Analysis
by Hsing       
(Hardcover - English - 9780470016916)
Theoretical Foundations of Functional Data Analysis, with an Introduction to Linear Operators provides a uniquely broad compendium of the key mathematical concepts and results that are relevant for the theoretical development of functional data analysis (FDA). br br The self-contained treatment of selected topics of functional analysis and operator theory includes reproducing kernel Hilbert spaces, singular value decomposition of compact operators on Hilbert spaces and perturbation theory for both self-adjoint and non self-adjoint operators. The probabilistic foundation for FDA is described from the perspective of random elements in Hilbert spaces as well ..
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Rp. 2.367.000
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Rp. 2.012.000
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Multivariate Statistics: Old School: Mathematical and methodological introduction to multivariate statistical analytics, including linear model
by Marden, John I.       
(Paperback - English - 9781456538835)
Multivariate Statistics: Old School is a mathematical and methodological introduction to multivariate statistical analysis. It presents the basic mathematical grounding that graduate statistics students need for future research, and important multivariate techniques useful to statisticians in general. The material provides support for further study in big data and machine learning. Topics include ul li The multivariate normal and Wishart distributions li Linear models, including multivariate regression and analysis of variance, and both-sides models (GMANOVA, repeated measures, growth curves) li Linear algebra useful for multivariate statistics li Co ..
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Rp. 719.000
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Rp. 611.000
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The Geometry of Multivariate Statistics
by Wickens, Thomas D.       
(Paperback - English - 9781138882829)
A traditional approach to developing multivariate statistical theory is algebraic. Sets of observations are represented by matrices, linear combinations are formed from these matrices by multiplying them by coefficient matrices, and useful statistics are found by imposing various criteria of optimization on these combinations. Matrix algebra is the vehicle for these calculations. A second approach is computational. Since many users find that they do not need to know the mathematical basis of the techniques as long as they have a way to transform data into results, the computation can be done by a package of computer programs that somebody else has written. An ap ..
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Rp. 1.903.000
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Rp. 1.618.000
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Regression Through Graphics
by Cook       
(Hardcover - English - 9780471193654)
Zur graphischen Pr sentation von Regressionsdaten gibt es seit dem Vormarsch der Computertechnik vielf ltige neue M glichkeiten, die ber die klassischen Ans tze hinausgehen. Der Autor betritt mit seinen Ideen h ufig Neuland; er illustriert sie mit zahlreichen Beispielen, Diagrammen und Abbildungen (die entsprechenden 3D- und Farbversionen sind ber Internet abrufbar). (11 98) ..
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Rp. 4.389.000
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Rp. 3.732.000
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