Search Results - "repeatability"

Tuning and control loop performance / by McMillan, Gregory K., 1946-

Table of Contents: “…Effect of measurement dynamics -- 6.1 Introduction -- 6.1.1 Perspective -- 6.1.2 Overview -- 6.1.3 Recommendations -- 6.2 Wireless update rate and transmitter damping -- 6.2.1 First effect via equation for integrated error -- 6.2.2 Second effect via equations for implied dead time -- 6.3 Analyzers -- 6.4 Sensor lags and delays -- 6.5 Noise and repeatability -- 6.6 Threshold sensitivity and resolution limits -- 6.7 Rangeability (turndown) -- 6.8 Runaway processes -- 6.9 Accuracy, precision, and drift -- 6.10 Attenuation and deception -- 6.11 Examples -- 6.11.1 Waste treatment pH loop (self-regulating process) -- 6.11.2 Boiler feedwater flow loop (self-regulating process) -- 6.11.3 Boiler drum level loop (integrating process) -- 6.11.4 Furnace pressure loop (near-integrating process) -- 6.11.5 Exothermic reactor cascade temperature loop (runaway process) -- 6.11.6 Biological reactor biomass concentration loop (runaway process) -- 6.12 Test results -- Key points --…”
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The Integration of Descendants of Migrants from Turkey in Stockholm : The TIES Study in Sweden /

Table of Contents: “…Target group = descendants of migrants from Turkey -- reference group = young people of Swedish origin -- Table 2.3 : Respondents having left their parental home, target and reference groups (in %) -- Table 2.4 : Reasons for leaving the parental home (in %) -- Table 2.5 : Parents' province of origin (in %) -- Table 2.6 : Parents' ethnicity (self-identification) (in %) -- Table 2.8 : Parents' reasons to migrate to Sweden (in %) -- Table 2.10 : Citizenship position (in %) -- Table 2.11 : Grounds for citizenship acquisition (in %) -- Table 3.1 : School segregation at primary school level, by age for target and reference groups (in %) -- Table 3.4 : Segregation at secondary school level, by age for target and reference groups (in %) -- Table 3.5 : Repeating classes (secondary school) for target and reference groups (in %) -- Table 3.7 : Remedial tutoring or homework coaching during secondary school (in %) -- Table 3.8 : Relations with teachers and other students, for target and reference groups -- Table 3.10 : Years of education, father and mother, for target and reference groups (standard deviations in parentheses) -- Table 3.11 : Number of books available at the parental home, for target and reference groups (in %).…”
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The Integration of Descendants of Migrants from Turkey in Stockholm : The TIES Study in Sweden /

Table of Contents: “…Target group = descendants of migrants from Turkey -- reference group = young people of Swedish origin -- Table 2.3 : Respondents having left their parental home, target and reference groups (in %) -- Table 2.4 : Reasons for leaving the parental home (in %) -- Table 2.5 : Parents' province of origin (in %) -- Table 2.6 : Parents' ethnicity (self-identification) (in %) -- Table 2.8 : Parents' reasons to migrate to Sweden (in %) -- Table 2.10 : Citizenship position (in %) -- Table 2.11 : Grounds for citizenship acquisition (in %) -- Table 3.1 : School segregation at primary school level, by age for target and reference groups (in %) -- Table 3.4 : Segregation at secondary school level, by age for target and reference groups (in %) -- Table 3.5 : Repeating classes (secondary school) for target and reference groups (in %) -- Table 3.7 : Remedial tutoring or homework coaching during secondary school (in %) -- Table 3.8 : Relations with teachers and other students, for target and reference groups -- Table 3.10 : Years of education, father and mother, for target and reference groups (standard deviations in parentheses) -- Table 3.11 : Number of books available at the parental home, for target and reference groups (in %).…”
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Mastering Lean Six Sigma advanced black belt concepts / by Taghizadegan, Salman, 1957-

Table of Contents: “…Analysis of concepts and strategies: advanced statistical analysis, achieving ultimate performance scientifically -- 9.1 Descriptive statistics -- 9.1.1 Descriptive statistics techniques and graphing: stem and leaf -- 9.1.2 Histogram -- 9.1.3 Measure of center tendency -- 9.1.4 Measures of variability -- 9.2 Descriptive measures -- 9.2.1 Measurement system analysis -- 9.2.2 Accuracy/bias -- 9.2.3 Stability (consistency) -- 9.2.4 Linearity -- 9.2.5 Gage repeatability and reproducibility (or Gage R&R) -- 9.2.6 Measurement system components -- 9.3 Probability distributions and concepts -- 9.3.1 Definition, experiment, outcome, and sample space -- 9.3.2 Probability of event (EI) as relative frequency -- 9.3.3 Marginal and conditional probabilities -- 9.3.4 The rules of probability (union of events) -- 9.3.5 The rules of probability (intersection of events) -- 9.4 Discrete random variables: probability distribution -- 9.4.1 Binomial probability distribution -- 9.4.2 Poisson probability distribution -- 9.4.3 The hypergeometric probability distribution -- 9.5 Continuous random variables probability distributions -- 9.5.1 Normal probability distribution -- 9.5.2 t-distribution -- 9.5.3 Normality test -- 9.5.4 Exponential distribution -- 9.5.5 Reliability engineering -- 9.6 Inferential statistics and sampling distribution -- 9.6.1 Random sampling and the distribution of the sample mean -- 9.6.2 Central limit theorem (CLT) -- 9.6.3 Confidence interval for the mean [mu] of normal population ([theta] is known) -- 9.6.4 Confidence interval for the mean [mu] of normal -- Population (([theta] is unknown) -- 9.6.5 Selecting the necessary sample size -- 9.7 Hypothesis testing, inferences procedures, and proportions testing -- 9.7.1 Hypothesis testing for the mean [mu] and variance ([theta]2) of the population -- 9.7.2 P-value application -- 9.7.3 Hypothesis testing using p-value approach (using equal mean) -- 9.7.4 Hypothesis testing on the mean [mu] of a normal population for small sample -- 9.7.5 Inference procedures for two populations: applying the concepts -- 9.7.6 Comparing two normal population means ([mu]1 - [mu]2) using two small, independent samples: apply the mechanics -- 9.7.7 Comparing the variance of two normal populations ([theta]12-[theta]22) using independent samples-f test (small sample size): apply the mechanics -- 9.7.8 Estimation and testing for population proportions -- 9.7.9 Confidence interval for a population proportion: large sample -- 9.7.10 Hypothesis testing for a population proportion -- 9.7.11 Comparing population proportion: two large independent samples -- 9.8 Advanced analysis of variance (ANOVA) -- 9.8.1 One-way analysis of variance -- 9.8.2 Randomized block design and analysis of variance -- 9.8.3 Two-way analysis of variance -- 9.9 Linear regression analysis -- 9.9.1 Scatter plots and correlation analysis -- 9.9.2 Simple linear regression model and analysis -- 9.9.3 Linear regression model -- 9.9.4 Least square criteria -- 9.9.5 Inferences on the slope [beta]1, concept: t-test -- 9.9.6 Confidence interval for B1 slope -- 9.9.7 Prediction by regression analysis: confidence interval for an individual y, given x -- 9.10 Multiple regression analysis -- 9.10.1 Multiple linear regression model building -- 9.10.2 Hypothesis testing and confidence interval -- 9.10.3 Polynomial and nonlinear regression model building -- 9.11 Tollgate review and deliverables for analysis phase -- 9.11.1 Analysis phase deliverables and checklist --…”
An electronic book accessible through the World Wide Web; click to view

Mastering Lean Six Sigma advanced black belt concepts / by Taghizadegan, Salman, 1957-

Table of Contents: “…Analysis of concepts and strategies: advanced statistical analysis, achieving ultimate performance scientifically -- 9.1 Descriptive statistics -- 9.1.1 Descriptive statistics techniques and graphing: stem and leaf -- 9.1.2 Histogram -- 9.1.3 Measure of center tendency -- 9.1.4 Measures of variability -- 9.2 Descriptive measures -- 9.2.1 Measurement system analysis -- 9.2.2 Accuracy/bias -- 9.2.3 Stability (consistency) -- 9.2.4 Linearity -- 9.2.5 Gage repeatability and reproducibility (or Gage R&R) -- 9.2.6 Measurement system components -- 9.3 Probability distributions and concepts -- 9.3.1 Definition, experiment, outcome, and sample space -- 9.3.2 Probability of event (EI) as relative frequency -- 9.3.3 Marginal and conditional probabilities -- 9.3.4 The rules of probability (union of events) -- 9.3.5 The rules of probability (intersection of events) -- 9.4 Discrete random variables: probability distribution -- 9.4.1 Binomial probability distribution -- 9.4.2 Poisson probability distribution -- 9.4.3 The hypergeometric probability distribution -- 9.5 Continuous random variables probability distributions -- 9.5.1 Normal probability distribution -- 9.5.2 t-distribution -- 9.5.3 Normality test -- 9.5.4 Exponential distribution -- 9.5.5 Reliability engineering -- 9.6 Inferential statistics and sampling distribution -- 9.6.1 Random sampling and the distribution of the sample mean -- 9.6.2 Central limit theorem (CLT) -- 9.6.3 Confidence interval for the mean [mu] of normal population ([theta] is known) -- 9.6.4 Confidence interval for the mean [mu] of normal -- Population (([theta] is unknown) -- 9.6.5 Selecting the necessary sample size -- 9.7 Hypothesis testing, inferences procedures, and proportions testing -- 9.7.1 Hypothesis testing for the mean [mu] and variance ([theta]2) of the population -- 9.7.2 P-value application -- 9.7.3 Hypothesis testing using p-value approach (using equal mean) -- 9.7.4 Hypothesis testing on the mean [mu] of a normal population for small sample -- 9.7.5 Inference procedures for two populations: applying the concepts -- 9.7.6 Comparing two normal population means ([mu]1 - [mu]2) using two small, independent samples: apply the mechanics -- 9.7.7 Comparing the variance of two normal populations ([theta]12-[theta]22) using independent samples-f test (small sample size): apply the mechanics -- 9.7.8 Estimation and testing for population proportions -- 9.7.9 Confidence interval for a population proportion: large sample -- 9.7.10 Hypothesis testing for a population proportion -- 9.7.11 Comparing population proportion: two large independent samples -- 9.8 Advanced analysis of variance (ANOVA) -- 9.8.1 One-way analysis of variance -- 9.8.2 Randomized block design and analysis of variance -- 9.8.3 Two-way analysis of variance -- 9.9 Linear regression analysis -- 9.9.1 Scatter plots and correlation analysis -- 9.9.2 Simple linear regression model and analysis -- 9.9.3 Linear regression model -- 9.9.4 Least square criteria -- 9.9.5 Inferences on the slope [beta]1, concept: t-test -- 9.9.6 Confidence interval for B1 slope -- 9.9.7 Prediction by regression analysis: confidence interval for an individual y, given x -- 9.10 Multiple regression analysis -- 9.10.1 Multiple linear regression model building -- 9.10.2 Hypothesis testing and confidence interval -- 9.10.3 Polynomial and nonlinear regression model building -- 9.11 Tollgate review and deliverables for analysis phase -- 9.11.1 Analysis phase deliverables and checklist --…”
An electronic book accessible through the World Wide Web; click to view

Molecular plant immunity

Table of Contents: “…Bogdanove 6.1 Introduction 6.2 TAL effectors are delivered into and may dimerize in the host cell 6.3 TAL effectors function in the plant cell nucleus 6.4 AvrBs4 is recognized in the plant cell cytoplasm 6.5 TAL effectors activate host gene expression 6.6 The central repeat region of TAL effectors determines DNA binding specificity 6.7 TAL effectors wrap around DNA in a right-handed superhelix 6.8 TAL effector targets include different susceptibility and candidate susceptibility genes 6.9 The MtN3 gene family is targeted by multiple TAL effectors 6.10 Promoter polymorphisms prevent S gene activation to provide disease resistance 6.11 The nature of the rice bacterial blight resistance gene xa5 suggests TAL effector interaction with plant transcriptional machinery 6.12 Executor R genes exploit TAL effector activity for resistance 6.13 The diversity of TAL effectors in Xanthomonas populations is largely unexplored 6.14 TAL effectors are useful tools for DNA targeting 6.15 Summary 7 Effectors of fungi and oomycetes: their virulence and avirulence functions, and translocation from pathogen to host cells Brett M. …”
An electronic book accessible through the World Wide Web; click to view

Molecular plant immunity

Table of Contents: “…Bogdanove 6.1 Introduction 6.2 TAL effectors are delivered into and may dimerize in the host cell 6.3 TAL effectors function in the plant cell nucleus 6.4 AvrBs4 is recognized in the plant cell cytoplasm 6.5 TAL effectors activate host gene expression 6.6 The central repeat region of TAL effectors determines DNA binding specificity 6.7 TAL effectors wrap around DNA in a right-handed superhelix 6.8 TAL effector targets include different susceptibility and candidate susceptibility genes 6.9 The MtN3 gene family is targeted by multiple TAL effectors 6.10 Promoter polymorphisms prevent S gene activation to provide disease resistance 6.11 The nature of the rice bacterial blight resistance gene xa5 suggests TAL effector interaction with plant transcriptional machinery 6.12 Executor R genes exploit TAL effector activity for resistance 6.13 The diversity of TAL effectors in Xanthomonas populations is largely unexplored 6.14 TAL effectors are useful tools for DNA targeting 6.15 Summary 7 Effectors of fungi and oomycetes: their virulence and avirulence functions, and translocation from pathogen to host cells Brett M. …”
An electronic book accessible through the World Wide Web; click to view

Practical synthetic organic chemistry reactions, principles, and techniques /

An electronic book accessible through the World Wide Web; click to view

Practical synthetic organic chemistry reactions, principles, and techniques /

An electronic book accessible through the World Wide Web; click to view

Mobilized marketing how to drive sales, engagement, and loyalty through mobile devices / by Hasen, Jeff, 1958-

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Mobilized marketing how to drive sales, engagement, and loyalty through mobile devices / by Hasen, Jeff, 1958-

An electronic book accessible through the World Wide Web; click to view

George Eliot's Religious Imagination : A Theopoetics of Evolution / by Orr, Marilyn, 1950-

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Centaurs, Rioting in Thessaly: Memory and the Classical World / by Hudson, Martyn

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George Eliot's Religious Imagination : A Theopoetics of Evolution / by Orr, Marilyn, 1950-

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Centaurs, Rioting in Thessaly: Memory and the Classical World / by Hudson, Martyn

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Socialist joy in the writing of Langston Hughes by Scott, Jonathan, 1968-

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Socialist joy in the writing of Langston Hughes by Scott, Jonathan, 1968-

An electronic book accessible through the World Wide Web; click to view

Cellular & Molecular Biology Letters

Open Access

Cellular & Molecular Biology Letters

Open Access

Sea Monsters: Things from the Sea, Volume 2

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