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Regression analysis: dependent variable statistical model(Chinese Edition)
ISBN 10: 7562469768
ISBN 13: 9787562469766
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paperback
Seller: liu xing, Nanjing, JS, China
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paperback. Condition: New. Ship out in 2 business day, And Fast shipping, Free Tracking number will be provided after the shipment.Paperback. Pub Date: Unknown Pages: 376 in Publisher: Chongqing University Press List Price: 68.00 yuan of: (United States) Freud (U.S.). Wilson (U.S.) Pincha forward. Chen Chonglin Translation Publishing House: Chongqing University Press ISBN: 9.787.562.469.766 Page: 376 Edition: 1 Binding: Paperback: 16 Published :2012 -9-1 printing time: Words: 562.000 commodities identification: 22.890.883 contents Introduction we generally encounter problems: on hand With a group should be about a particular variable sample or experimental data. and hope to explain through statistical analysis of its traits (behavior). This analysis is usually based on variable traits can be explained by a model of such a premise. Such a model (general) in the form of algebraic expressions involving some other variable. Those other variables described experimental conditions. describe how these conditions affect the parameters and error of the dependent variable. The error expression is almost all-encompassing. any traits of the dependent variable models impossible to fully explain. Statistical analysis including parameter estimation. inference (hypothesis testing and confidence intervals) and determine the nature of the error (quantity). In addition. we must also make those statistical analysis error. data error. model selection improper conduct investigations and other violations of law constitute a statistical inference assumptions. The data can either be used for this analysis is the experimental data of the sample investigation and observation of the process (operation data). and may be collected. and the second hand data. Using all these different sources of data. especially in the use from the operation and secondary data to do statistical analysis. we need to do something more than just the number of substituted into the formula. or use a computer program to run a race data . We often see some of the analysis is poor by some plans a series of steps disorder. The analysis such as definition model. data filtering. the computer program selection. to the output result of interpretation. the abnormality data. and the model exists insufficient diagnosis. and in the purpose of the analysis within the framework of the suggestions made may there is this or that problem. Author directory on the basic principles of a mean value analysis: basics refresher and linear models Introduction 2 Simple linear regression analysis: 5 multiple of 4 to examine the issue of the single independent variable linear regression Multiple linear regression the novella problem and its remedy collinearity model problems in the next regression uses curve fitting nonlinear model Introduction 9 indicates variable 10 given class generalized linear model the dependent variable 11 tables in Appendix A Appendix B Matrix Introduction Appendix C estimation method Reference Editor's summary with illustrations media comment probation chaptersFour Satisfaction guaranteed,or money back. Seller Inventory # EJ011814