標題: Titlebook: Exact Statistical Methods for Data Analysis; Samaradasa Weerahandi Book 1995 Springer Science+Business Media New York 1995 data analysis.a [打印本頁] 作者: interleukins 時間: 2025-3-21 19:52
書目名稱Exact Statistical Methods for Data Analysis影響因子(影響力)
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書目名稱Exact Statistical Methods for Data Analysis讀者反饋
書目名稱Exact Statistical Methods for Data Analysis讀者反饋學科排名
作者: 可行 時間: 2025-3-21 22:27 作者: 侵略 時間: 2025-3-22 00:44
https://doi.org/10.1007/978-1-4613-1305-2ide formulae for computing exact p-values even for testing parameters of special distributions. The purpose of this chapter is to develop procedures of significance testing for the parameters of widely used distributions, such as the binomial distribution. The problems of point estimation and interv作者: 委派 時間: 2025-3-22 06:54
Kathy Charles,Michael Palkowskitributions from which the observations are taken, and then make inferences about some of its unspecified parameters. In particular, the linear models in the last three chapters of the book are all based on the assumption that the underlying populations are normally distributed. While this assumption作者: aptitude 時間: 2025-3-22 11:12 作者: 哪有黃油 時間: 2025-3-22 14:23 作者: 哪有黃油 時間: 2025-3-22 19:46
https://doi.org/10.1007/978-3-319-50553-4ous problems involving parameters of two normal populations. Statistical inferences concerning the parameters of two normal distributions arise in the comparison of two treatments, brands, market segments, services, etc. Experimenters in a variety of fields including biomedical research, agricultura作者: Palpable 時間: 2025-3-22 22:34
Feeding Occupied France during World War Ire than two normal populations. In practical applications, often we need to compare several population means. For example, an investigator might wish to compare several brands of a product, or diet plans, or methods of instruction, or advertising methods, and so on. When samples are taken from under作者: 殺蟲劑 時間: 2025-3-23 04:55 作者: intercede 時間: 2025-3-23 06:28
Survival Strategies of Meiofauna, of levels. This is indeed the case in many designed experiments. In other designed experiments, and in many other situations, we encounter response variables that depend linearly on one or more continuous variables. Both of these are particular cases of what is known as . The purpose of this chapte作者: 他日關稅重重 時間: 2025-3-23 10:36
https://doi.org/10.1007/978-1-4612-0825-9data analysis; analysis of variance; ANOVA; binomial distribution; estimator; Hypothese; likelihood; linear作者: Interim 時間: 2025-3-23 17:34 作者: Overstate 時間: 2025-3-23 19:30
Review of Special Distributions,ide formulae for computing exact p-values even for testing parameters of special distributions. The purpose of this chapter is to develop procedures of significance testing for the parameters of widely used distributions, such as the binomial distribution. The problems of point estimation and interval estimation will be briefly discussed.作者: spondylosis 時間: 2025-3-24 00:18
978-0-387-40621-3Springer Science+Business Media New York 1995作者: 包庇 時間: 2025-3-24 03:53 作者: FEAT 時間: 2025-3-24 07:58 作者: 高談闊論 時間: 2025-3-24 14:01
IMPLEMENTATION OF FEEDFORWARD AMPLIFIERS,ibutions. Although one can find randomized fixed-level tests for testing parameters of discrete distributions, such tests are mainly of theoretical interest; in real world applications, an experimenter would usually resort to an approximate test rather than performing a randomized fixed-level test.作者: 助記 時間: 2025-3-24 15:36 作者: 松緊帶 時間: 2025-3-24 22:44 作者: myopia 時間: 2025-3-24 23:46
Generalized p-Values,ibutions. Although one can find randomized fixed-level tests for testing parameters of discrete distributions, such tests are mainly of theoretical interest; in real world applications, an experimenter would usually resort to an approximate test rather than performing a randomized fixed-level test.作者: assail 時間: 2025-3-25 04:28
Comparing Two Normal Populations,l experiments, quality engineering, and socioeconomic investigations often need to perform tests and construct confidence intervals for the difference in two normal means or variances. For example, this is the case when an experimenter compares the yield of a new hybrid corn with a standard kind.作者: 典型 時間: 2025-3-25 08:59
Analysis of Variance,lying populations, the sample means will almost always be different regardless of whether the population means are equal or not. The question that we need to answer is whether or not some of these differences are relatively large due to differences in the population means rather than due to sampling variation.作者: 連接 時間: 2025-3-25 11:42 作者: 細微的差異 時間: 2025-3-25 19:42 作者: Aspiration 時間: 2025-3-25 23:40 作者: disrupt 時間: 2025-3-26 01:31 作者: congenial 時間: 2025-3-26 05:40 作者: CODE 時間: 2025-3-26 09:53
Regression,ariables that depend linearly on one or more continuous variables. Both of these are particular cases of what is known as . The purpose of this chapter is to develop procedures for making inferences about general linear models when the response variable is normally distributed.作者: 稀釋前 時間: 2025-3-26 13:13 作者: BLUSH 時間: 2025-3-26 17:59 作者: VAN 時間: 2025-3-26 22:18
Preliminary Notions,aling with statistical problems where it is of interest to make statistical statements about certain parameters of a population from which a set of data have been generated. It is assumed that the characteristics of interest in the population can be represented by a set of random variables and the p作者: enterprise 時間: 2025-3-27 04:13 作者: conceal 時間: 2025-3-27 06:27
Review of Special Distributions,ide formulae for computing exact p-values even for testing parameters of special distributions. The purpose of this chapter is to develop procedures of significance testing for the parameters of widely used distributions, such as the binomial distribution. The problems of point estimation and interv作者: 膽大 時間: 2025-3-27 10:51 作者: aesthetician 時間: 2025-3-27 15:12
Generalized p-Values,an fixed-level testing. Most of all, p-values can be employed to test parameters of discrete distributions such as binomial and Poisson distributions, thus making exact nonparametric testing possible. Non-randomized fixed-level tests at standard nominal levels do not usually exist for discrete distr作者: rectum 時間: 2025-3-27 21:09
Generalized Confidence Intervals,ional confidence intervals will find the generalization useful to obtain excellent approximate interval estimates for problems such the interval estimation in mixed models. According to simulation studies, such approximations have outperformed more complicated approximations reported in the literatu作者: Spangle 時間: 2025-3-27 23:32 作者: Asymptomatic 時間: 2025-3-28 05:42
Analysis of Variance,re than two normal populations. In practical applications, often we need to compare several population means. For example, an investigator might wish to compare several brands of a product, or diet plans, or methods of instruction, or advertising methods, and so on. When samples are taken from under作者: countenance 時間: 2025-3-28 09:13
Mixed Models,mpeting treatments) of each factor were considered as deliberate choices of an experimenter and the models we encountered in that chapter allowed the experimenter to compare the effects of competing treatments. The models that we studied in the previous chapter are called .. In some other applicatio作者: Inclement 時間: 2025-3-28 10:27
Regression, of levels. This is indeed the case in many designed experiments. In other designed experiments, and in many other situations, we encounter response variables that depend linearly on one or more continuous variables. Both of these are particular cases of what is known as . The purpose of this chapte作者: Hirsutism 時間: 2025-3-28 17:40
Erl?uterung der statistischen Verfahrenailable. With the present state of modern computing and statistical software, which allows a practitioner to compute the probability coverage under standard distribution in a matter of seconds, one can hardly find an excuse to do otherwise.作者: 青少年 時間: 2025-3-28 22:42 作者: 解脫 時間: 2025-3-29 02:27
Advanced Series in Agricultural Sciencesdistribution are not available. The Behrens-Fisher problem is probably the most well known problem in which exact confidence intervals based on minimal sufficient statistics do not exist. In Chapter 7 this problem will be discussed in detail and the problem will be solved by the generalized approach
