If you need from all walks of life in China Statistical Yearbook, visit http://www.spsschina.com
China City Statistical Yearbook (2000-2008)
China Information Yearbook (2000-2008)
China Statistical Yearbook (2000-2008)
China National Automotive Industry Yearbook (2000-2008)
..............
..........
Sunday, April 26, 2009
What is the chi-square test
1, test the correlation between two sets of classification variables.
2, to check two or more than two population have the same overall probability.
3, check the fit, that is, whether the frequency distribution subject to the particular probability.
2, to check two or more than two population have the same overall probability.
3, check the fit, that is, whether the frequency distribution subject to the particular probability.
Thursday, April 16, 2009
ANOVA is not analysis of variance
Analysis of variance is the analysis of the mean for different groups. As a result of the overall variance in the case of the unknown, t test formula is different.so Analysis of variance equal need to test whether the variance first.
What is the T test?
T test is the test data and how far the distance between the mean, that is, if things are allowed in our area?
Sunday, April 12, 2009
A First Course in Stochastic Processes
The purpose, level, and style of this new edition conform to the tenets set forth in the original preface. The authors continue with their tack of developing simultaneously theory and applications, intertwined so that they refurbish and elucidate each other.
The authors have made three main kinds of changes. First, they have enlarged on the topics treated in the first edition. Second, they have added many exercises and problems at the end of each chapter. Third, and most important, they have supplied, in new chapters, broad introductory discussions of several classes of stochastic processes not dealt with in the first edition, notably martingales, renewal and fluctuation phenomena associated with random sums, stationary stochastic processes, and diffusion theory.
The authors have made three main kinds of changes. First, they have enlarged on the topics treated in the first edition. Second, they have added many exercises and problems at the end of each chapter. Third, and most important, they have supplied, in new chapters, broad introductory discussions of several classes of stochastic processes not dealt with in the first edition, notably martingales, renewal and fluctuation phenomena associated with random sums, stationary stochastic processes, and diffusion theory.
Structural Equation Modeling: A Multidisciplinary Journal
http://www.leaonline.com/loi/sem
Publisher: Lawrence Erlbaum Associates, Inc.
This journal publishes manuscripts from all academic disciplines with an
interest in structural equation modeling. These include, but are not limited
to, psychology, sociology, educational research, political science,
economics, management, and business/marketing.
The journal contains theoretical and applied articles, a teachers' corner,
book and software reviews, and advertising. Theoretical articles address new
developments and examine current practices. Applied articles deal with both
exploratory and confirmatory models. The teachers' corner provides
instructional modules on aspects of structural equation modeling. The book
and software reviews afford an opportunity to examine new modeling
information and techniques. Advertising alerts readers to new products.
Publisher: Lawrence Erlbaum Associates, Inc.
This journal publishes manuscripts from all academic disciplines with an
interest in structural equation modeling. These include, but are not limited
to, psychology, sociology, educational research, political science,
economics, management, and business/marketing.
The journal contains theoretical and applied articles, a teachers' corner,
book and software reviews, and advertising. Theoretical articles address new
developments and examine current practices. Applied articles deal with both
exploratory and confirmatory models. The teachers' corner provides
instructional modules on aspects of structural equation modeling. The book
and software reviews afford an opportunity to examine new modeling
information and techniques. Advertising alerts readers to new products.
Tuesday, April 7, 2009
spss English data
from the other Perspective use math analysis, to see how foreigners study the spss .
link:
http://www.spsschina.com/thread-3421-1-1.html
link:
http://www.spsschina.com/thread-3421-1-1.html
wether Independent T test are need the same number case?
Two independent samples to compare the statistics to do, first of all need to be normal distribution of the samples tested, if not normal distribution, two independent samples were tested using non-parametric two independent samples test u; if they are normal distribution, then take the following methods:
1. Different sample size, can be used independent samples T test;
2. The same sample size and statistical significance of the same can be paired T test is a special independent T test samples.
1. Different sample size, can be used independent samples T test;
2. The same sample size and statistical significance of the same can be paired T test is a special independent T test samples.
Subscribe to:
Posts (Atom)