Cantitate/Preț
Produs
Total produse
Vezi coșul
Applied Multivariate Data Analysis de J. D. Jobson

Applied Multivariate Data Analysis: Springer Texts in Statistics

Autor J. D. Jobson
en Limba Engleză Hardback – 3 sep 1991
An easy to read survey of data analysis, linear regression models and analysis of variance. The extensive development of the linear model includes the use of the linear model approach to analysis of variance provides a strong link to statistical software packages, and is complemented by a thorough overview of theory. It is assumed that the reader has the background equivalent to an introductory book in statistical inference. Can be read easily by those who have had brief exposure to calculus and linear algebra. Intended for first year graduate students in business, social and the biological sciences. Provides the student with the necessary statistics background for a course in research methodology. In addition, undergraduate statistics majors will find this text useful as a survey of linear models and their applications.
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (2) 39756 lei  6-8 săpt.
  Springer – 27 sep 2012 39756 lei  6-8 săpt.
  Springer – 23 oct 2012 64327 lei  6-8 săpt.
Hardback (1) 40414 lei  6-8 săpt.
  Springer – 3 sep 1991 40414 lei  6-8 săpt.

Din seria Springer Texts in Statistics

  • 15% An Introduction to Statistical Learning
    Preț: 50468 lei
  • 15% Testing Statistical Hypotheses
    Preț: 71384 lei
  • 18% Generalized Linear Models With Examples in R
    Preț: 75128 lei
  • 20% Statistical Modeling and Computation
    Preț: 75022 lei
  • 17% An Introduction to Statistical Learning
    Preț: 53932 lei
  • 15% Statistics for Bioengineering Sciences
    Preț: 64771 lei
  • 23% Modern Multivariate Statistical Techniques
    Preț: 79687 lei
  • 18% Probability via Expectation
    Preț: 86431 lei
  • 18% An Introduction to Bayesian Analysis
    Preț: 96895 lei
  • 5% Modeling Longitudinal Data
    Preț: 63404 lei
  • 15% Time Series Analysis
    Preț: 58886 lei
  • Fundamentals of Mathematical Statistics
    Preț: 38811 lei
  • 18% Theory of Point Estimation
    Preț: 88130 lei
  • Analyzing Categorical Data
    Preț: 39257 lei
  • 15% Statistical Models and Methods for Financial Markets
    Preț: 51445 lei
  • 18% Measure Theory and Probability Theory
    Preț: 77722 lei
  • Statistical Methods for the Analysis of Repeated Measurements
    Preț: 38155 lei
  • 18% Mathematical Statistics
    Preț: 81759 lei
  • 15% Elements of Large-Sample Theory
    Preț: 68620 lei
  • 15% The Bayesian Choice
    Preț: 58211 lei
  • A First Course in Bayesian Statistical Methods
    Preț: 37557 lei
  • 18% Monte Carlo Statistical Methods
    Preț: 82112 lei
  • 15% Probability
    Preț: 67540 lei
  • 18% Statistical Design
    Preț: 85905 lei
  • 19% Testing Statistical Hypotheses
    Preț: 58726 lei
  • 15% A Modern Approach to Regression with R
    Preț: 57289 lei
  • 15% Statistical Analysis of Financial Data in S-Plus
    Preț: 65652 lei
  • All of Statistics
    Preț: 42263 lei
  • Studying Human Populations: An Advanced Course in Statistics
    Preț: 38878 lei
  • 18% Applied Multivariate Analysis
    Preț: 78376 lei
  • 15% Log-Linear Models and Logistic Regression
    Preț: 62948 lei
  • The Statistical Analysis of Discrete Data
    Preț: 38463 lei
  • 15% Plane Answers to Complex Questions
    Preț: 67222 lei
  • 18% Statistics and Finance
    Preț: 108022 lei
  • Probability Theory
    Preț: 48066 lei
  • 18% All of Nonparametric Statistics
    Preț: 91730 lei
  • 19% Design and Analysis of Experiments
    Preț: 67794 lei
  • 15% Probability and Statistical Inference: Volume 2: Statistical Inference
    Preț: 62575 lei
  • Mathematical Statistics
    Preț: 38985 lei
  • 18% Statistical Methods: The Geometric Approach
    Preț: 71769 lei

Preț: 40414 lei

Puncte Express: 606
Preț estimativ în valută:
7141€ • 8189$ • 6197£

Carte tipărită la comandă

Livrare economică 14-28 mai

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă

Specificații

ISBN-13: 9780387976600
ISBN-10: 0387976604
Pagini: 652
Ilustrații: XXV, 622 p. With online files/update.
Dimensiuni: 160 x 241 x 40 mm
Greutate: 1.13 kg
Ediția:1991
Editura: Springer
Colecția Springer Texts in Statistics
Seria Springer Texts in Statistics

Locul publicării:New York, NY, United States

Public țintă

Graduate

Cuprins

1 Introduction.- 1.1 Multivariate Data Analysis, Data Matrices and Measurement Scales.- 1.2 The Setting.- 1.3 Review of Statistical Inference for Univariate Distributions.- Exercises for Chapter 1.- Questions for Chapter 1.- 2 Univariate Data Analysis.- 2.1 Data Analysis for Univariate Samples.- 2.2 Characteristics of Sample Distributions.- 2.3 Outliers.- 2.4 Assessing Normality.- 2.5 Transformations.- Cited Literature for Chapter 2.- Exercises for Chapter 2.- Questions for Chapter 2.- 3 Bivariate Analysis for Qualitative Random Variables.- 3.1 Joint Distributions.- 3.2 Statistical Inference for Bivariate Random Variables.- 3.3 The Simple Linear Regression Model.- 3.4 Regression and Correlation in a Multivariate Setting.- Cited Literature for Chapter 3.- Exercises for Chapter 3.- Questions for Chapter 3.- 4 Multiple Linear Regression.- 4.1 The Multiple Linear Regression Model.- 4.2 Variable Selection.- 4.3 Multicollinearity and Biased Regression.- 4.4 Residuals, Influence, Outliers andModel Validation.- 4.5 Qualitative Explanatory Variables.- 4.6 Additional Topics in Linear Regression.- Cited Literature and Additional References for Chapter 4.- Exercises for Chapter 4.- Questions for Chapter 4.- 5 Analysis of Variance and Experimental Design.- 5.1 One-Way Analysis of Variance.- 5.2 Two-Way Analysis of Variance.- 5.3 Analysis of Covariance.- 5.4 Some Three-Way Analysis of Variance Models.- 5.5 Some Basics of Experimental Design.- 5.6 Multifactor Factorials, Fractional Replication Confounding and Incomplete Blocks.- 5.7 Random Effects Models and Variance Components.- 5.8 Repeated Measures and Split Plots Designs.- Cited Literature for Chapter 5.- Exercises for Chapter 5.- Questions for Chapter 5.- 1. Matrix Algebra.- 1.1 Matrices.- Matrix, Transpose of a Matrix, Row Vector and Column Vector, Square Matrix, Symmetric Matrix, Diagonal Elements, Trace of a Matrix, Null or Zero Matrix, Identity Matrix, Diagonal Matrix, Submatrix.- 1.2 Matrix Operations.- Equality of Matrices, Addition of Matrices, Additive Inverse, Scalar Multiplication of a Matrix, Product of Two Matrices, Multiplicative Inverse, Idempotent Matrix, Kronecker Product.- 1.3 Determinants and Rank.- Determinant, Nonsingular, Relation Between Inverse and Determinant, Rank of a Matrix.- 1.4 Quadratic Forms and Positive Definite Matrices.- Quadratic Form, Congruent Matrix, Positive Definite, Positive Semidefinite, Negative Definite, Non-negative Definite.- 1.5 Partitioned Matrices.- Product of Partitioned Matrices, Inverse of a Partitioned Matrix, Determinant of a Partitioned Matrix.- 1.6 Expectations of Random Matrices.- 1.7 Derivatives of Matrix Expressions.- 2. Linear Algebra.- 2.1 Geometric Representation for Vectors.- 2.2 Linear Dependence And Linear Transformations.- 2.3 Systems of Equations.- Solution Vector for a System of Equations, Homogeneous Equations — Trivial and Nontrivial Solutions.- 2.4 Column Spaces, Projection Operators and Least Squares.- Column Space, Orthogonal Complement, Projection, Ordinary Least Squares Solution Vector, Idempotent Matrix — Projection Operator.- 3. Eigenvalue Structure and Singular Value Decomposition.- 3.1 Eigenvalue Structure for Square Matrices.- Eigenvalues and Eigenvectors, Characteristic Polynomial, Characteristic Roots, Latent Roots, Eigenvalues, Eigenvalues and Eigenvectors for Real Symmetric Matrices and Some Properties, Spectral Decomposition, Matrix Approximation, Eigenvalues for Nonnegative Definite Matrices.- 3.2 Singular Value Decomposition.- Left and Right Singular Vectors, Complete Singular Value Decomposition, Generalized Singular Value Decomposition, Relationship to Spectral Decomposition and Eigenvalues.- Data Appendix for Volume I.- Data Set D1, Data Set D2, Data Set D3, Data Set D4, Data Set D5, Data Set D6, Data Set D7, Data Set D8, Data Set D.- Table D1.- Table D2.- Table D3.- Table D4.- Table D5.- Table D6.- Table D7.- Table D8.- Table D9.- Table Appendix.- Table 1 The Cumulative Distribution Function forthe Standard Normal.- Table 3 Critical Values for the Chi-Square Distribution.- Table 5 Critical Values for the Studentized Range Distribution.- Author Index.

Recenzii

"On the whole, this volume is an excellent compendium on the subject of statistics to serve as a textbook for a number of courses." (Zentralblatt fuer Mathematik)

Caracteristici

Includes supplementary material: sn.pub/extras