Statistical inferences
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A Bayesian approach with frequentist validity has been developed to support inferences derived from a BLevel A^ in vivo-in vitro correlation (IVIVC). Irrespective of whether the in vivo data reflect in vivo dissolution or absorption, the IVIVC is typically assessed using a linear regression model. Confidence intervals are generally used to describe the uncertainty around the model. While the confidence intervals can describe population-level variability, it does not address the individual-level variability.
16p caothientrangnguyen 09-05-2020 34 2 Download
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Enrico Fermi (1901–1954) took great delight in astonishing his colleagues with his remarkably accurate predictions of experimental results. . . his “guesses” were really derived from the statistical sampling techniques that he used to calculate with whenever insomnia struck!
92p tranthanhkhang93 19-04-2017 34 4 Download
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Chapter 1 - An introduction to business statistics. After mastering the material in this chapter, you will be able to: Define a variable, describe the difference between a quantitative variable and a qualitative variable, describe the difference between crosssectional data and time series data, construct and interpret a time series (runs) plot,...
11p whocare_b 05-09-2016 59 2 Download
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Chapter 11 - Statistical inferences for population variances. After mastering the material in this chapter, you will be able to: Explain the basic terminology and concepts of experimental design, compare several different population means by using a one-way analysis of variance, compare treatment effects and block effects by using a randomized block design,...
9p whocare_b 05-09-2016 44 3 Download
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Mời các bạn cùng tìm hiểu unbiased; linearity; efficiency; gauss - markov theorem;... được trình bày cụ thể trong "Bài giảng Chapter 2: Finite sample properties of the ols estimator". Hy vọng tài liệu là nguồn thông tin hữu ích cho quá trình học tập và nghiên cứu của các bạn.
0p codon_09 01-04-2016 40 2 Download
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Lectures "Applied statistics for business - Chapter 1: Data and statistics" provides students with the knowledge: Applications in business and economics, data, data sources, descriptive Statistics, statistical Inference, computer and statistical analysis, data mining, ethical guidelines for statistical practice. Invite you to refer to the disclosures.
30p doinhugiobay_13 26-01-2016 59 3 Download
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Cùng nắm kiến thức trong bài thực hành 5 "Ngoại suy thống kê (Statistical Inferences)" thông qua việc tìm hiểu các nội dung sau: kiểm định F, kiểm tra độ tin cậy của toàn mô hình, mở rộng mô hình, kiểm định đồng thời một số giả thuyết, mức quảng cáo tối ưu, hồi quy với thông tin bổ trợ, xây dựng mô hình, đa cộng tuyến.
22p ngoccuong93 09-09-2014 144 68 Download