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Non-parametric statistic
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Part 2 of ebook "Statistical analysis and data display: An intermediate course with examples in R (Second edition)" provides readers with contents including: Chapter 13 - Design of experiments - factorial designs; Chapter 14 - Design of experiments - complex designs; Chapter 15 - Bivariate statistics - discrete data; Chapter 16 - Nonparametrics; Chapter 17 - Logistic regression; Chapter 18 - Time series analysis;...
458p
daonhiennhien
03-07-2024
3
1
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Statistics in a Nutshell is organized into four parts: introductory material (Chapters 1–6) that lays the necessary foundation for the chapters that follow; elementary inferential statistical techniques (Chapters 7–11); more advanced techniques (Chapters 12-16); and specialized techniques (Chapters 17–19).
478p
zizaybay1103
29-05-2024
3
2
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Part 2 book "Introduction to probability and statistics for engineers and scientists" includes content: Hypothesis testing, regression, analysis of variance, goodness of fit tests and categorical data analysis, nonparametric hypothesis tests, quality control, simulation, bootstrap statistical methods, and permutation tests.
372p
muasambanhan06
01-02-2024
2
0
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Part 1 book "Biostatistics - A methodology for the health sciences" includes content: Introduction to biostatistics; biostatistical design of medical studies; descriptive statistics; statistical inference - populations and samples; one and two sample inference; counting data; categorical data - contingency tables; nonparametric, distribution free, and permutation models - robust procedures; association and prediction - linear models with one predictor variable; analysis of variance.
435p
muasambanhan06
03-02-2024
1
1
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Part 2 book "Foundations of clinical research - Applications to evidence based practice" includes content: Descriptive statistics, foundations of statistical interference; comparing two means - the t-test, comparing more than two means - analysis of variance; multiple comparison tests; nonparametric tests for group comparisons; measuring association for categorical variables - chi square.... and other contents.
356p
oursky07
23-10-2023
1
1
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Ebook "Introduction to statistical pattern recognition" includes content: Introduction, random vectors and their properties, hypothesis testing, parametric classifiers, parameter estimation, nonparametric density estimation, nonparametric classification and error estimation, feature extraction and linear mapping for signal representation, feature extraction and linear mapping for classification, clustering.
616p
haojiubujain07
20-09-2023
5
3
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Ebook "Statistical pattern recognition" includes content: Introduction to statistical pattern recognition, density estimation – parametric, density estimation – nonparametric, linear discriminant analysis, nonlinear discriminant analysis – kernel methods, nonlinear discriminant analysis – projection methods, tree-based methods, performance, feature selection and extraction, clustering, additional topics,... and other contents.
515p
haojiubujain07
20-09-2023
3
2
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Continued part 1, part 2 of ebook "Statistics and data analysis for financial engineering with R examples" provides readers with contents including: time series models basics; time series models further topics; GARCH models; cointegration; portfolio selection; the capital asset pricing model; factor models and principal components; risk management; bayesian data analysis and MCMC; nonparametric regression and splines;...
407p
thamnhuocgiai
24-09-2023
7
4
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Continued part 1, part 2 of ebook "Introduction to mathematical statistics (Eighth edition)" provides readers with contents including: chapter 5 - consistency and limiting distributions; chapter 6 - maximum likelihood methods; chapter 7 - sufficiency; chapter 8 - optimal tests of hypotheses; chapter 9 - inferences about normal linear models; chapter 10 - nonparametric and robust statistics; chapter 11 - bayesian statistics;...
426p
hanlinhchi
29-08-2023
6
3
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Ebook "Statistics for business and economics (13/E)" delivers sound statistical methodology, a proven problem-scenario approach, and meaningful applications that clearly demonstrate how statistical information informs decisions in today’s business world. Completely up to date, more than 350 real business examples, practical cases, and hands-on exercises bring chapter concepts to life.
1122p
tichhythan
17-08-2023
10
6
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Lecture Business research methods (12/e) - Chapter 17: Hypothesis testing. After studying this chapter you will be able to understand: The nature and logic of hypothesis testing, a statistically significant difference, the six-step hypothesis testing procedure, the differences between parametric and nonparametric tests and when to use each, the factors that influence the selection of an appropriate test of statistical significance, how to interpret the various test statistics.
67p
haojiubujain04
27-07-2023
4
4
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Part 2 book "Elementary statistics - Step by step approach" includes content: Hypothesis testing, correlation and regression, testing the difference between two means, two proportions, and two variances, other chi square tests, analysis of variance, sampling and simulation, nonparametric statistics.
456p
oursky01
24-07-2023
9
6
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Ebook Probability and statistical inference: Part 2 includes contents: Chapter 7 tests of statistical hypotheses, chapter 8 nonparametric methods, chapter 9 bayesian methods, chapter 10 some theory, chapter 11 quality improvement through statistical methods.
249p
haojiubujain03
24-07-2023
5
4
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Ebook Mathematical statistics with applications: Part 2 presents the following content: Chapter 9: design of experiments, chapter 10: analysis of variance, chapter 11: bayesian estimation and inference, chapter 12: nonparametric tests, chapter 13: empirical methods, chapter 14: some issues in statistical applications: an overview.
360p
haojiubujain02
03-07-2023
7
2
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Ebook Introductory statistics: Part 2 includes the following content: Chapter 9 hypothesis tests about the mean and proportion, chapter 10 estimation and hypothesis testing: two populations, chapter 11 chi-square tests, chapter 12 analysis of variance, chapter 13 simple linear regression, chapter 14 multiple regression, chapter 15 nonparametric methods, appendix a sample surveys, sampling techniques, and design of experiments, appendix b explanation of data sets, appendix c statistical tables.
336p
haojiubujain01
24-06-2023
8
5
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Ebook Introduction to mathematical statistics (4th edition): Part 2 includes the following content: Chapter 6 maximum likelihood methods, chapter 7 sufficiency, chapter 8 optimal tests of hypotheses, chapter 9 inferences about normal linear models, chapter 10 nonparametric and robust statistics, chapter 11 bayesian statistics.
120p
haojiubujain01
24-06-2023
7
4
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Ebook Applied statistics and probability for engineers (Third Edition): Part 2 presents the following content: Chapter 9 tests of hypotheses for a single sample, chapter 10 statistical inference for two samples, chapter 11 simple linear regression and correlation, chapter 12 multiple linear regression, chapter 13 design and analysis of single-factor experiments: the analysis of variance, chapter 14 design of experiments with several factors, chapter 15 nonparametric statistics, chapter 16 statistical quality control.
493p
haojiubujain01
06-06-2023
5
3
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Ebook All of nonparametric statistics: Part 1 presents the following chapters: Chapter 1 introduction, chapter 2 estimating the CDF and statistical functionals, chapter 3 the Bootstrap and the Jackknife, chapter 4 smoothing: general concepts, chapter 5 nonparametric regression.
132p
runthenight08
12-04-2023
6
2
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Ebook All of nonparametric statistics: Part 2 presents the following chapters: Chapter 6 density estimation, chapter 7 normal means and minimax theory, chapter 8 nonparametric inference using orthogonal functions, chapter 9 wavelets and other adaptive methods, chapter 10 other topics.
139p
runthenight08
12-04-2023
9
2
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Continued part 1, part 2 of ebook "Statistics for management and economics" provide readers with content about: inference about comparing two populations; analysis of variance; chi-squared tests; simple linear regression and correlation; multiple regression; model building; nonparametric statistics; time-series analysis and forecasting; statistical process control; decision analysis;...
545p
damtuyetha
16-02-2023
3
1
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