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HPLC A Practical User’s Guide P2 potx

HPLC A Practical User’s Guide P2 potx

HPLC A Practical User’s Guide P2 potx

... equilibrated andstandardized, we are ready to carry out an HPLC separation on a real sample.We might add an internal standard (if necessary, to correct for injectionvariations), dilute our sample ... internal stan-dard to both our sample and our known standard mixture, we can calculatepeak heights or areas relative to that of the internal standard. Variations inthe injection size of the sample ... laboratories are mixed bed, activatedcharcoal, and ion exchange systems that produce water on demand. Thesesystems usually have a couple of ion-exchange cartridges and one activatedcharcoal filter...
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Tài liệu HPLC A practical user`s guide pptx

Tài liệu HPLC A practical user`s guide pptx

... solvent.8 ADVANTAGES AND DISADVANTAGES OF HPLC 1ADVANTAGES ANDDISADVANTAGES OF HPLC 3The first things we need to understand are how an HPLC system works, itsbest applications and advantages over ... remember that HPLC is both an analytical and a preparative tool. Often the preparative capabilities of the HPLC are over-looked. While normal analytical injections contain picogram to nanogramquantities, ... tool.Twenty-five years in HPLC, first as a user, then in fieldsales and application support for HPLC manufacturers, and finally working as a teacher and consultant has shown me that the average user wants an instru-ment...
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HPLC A Practical User’s Guide P1 doc

HPLC A Practical User’s Guide P1 doc

... remember that HPLC is both an analytical and a preparative tool. Often the preparative capabilities of the HPLC are over-looked. While normal analytical injections contain picogram to nanogramquantities, ... tool.Twenty-five years in HPLC, first as a user, then in fieldsales and application support for HPLC manufacturers, and finally working as a teacher and consultant has shown me that the average user wants an instru-ment ... linear solvent gradients and a peristaltic pump is used to feedsolvent to the column head. Packing materials generally made of silica gel,alumina, and agarose are available to allow separation...
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SAS/ETS 9.22 User''''s Guide 4 potx

SAS/ETS 9.22 User''''s Guide 4 potx

... residual plots– standard errors and t tests– covariance and correlation matrices of parameter estimates and equation errorspredicted values, residuals, parameter estimates, and variance-covariance ... heteroscedasticity bivariate probit bivariate Tobit sample selection modelsARIMA (Box-Jenkins) and ARIMAX (Box-Tiao) Modeling and Forecasting ✦ 31ARIMA (Box-Jenkins) and ARIMAX (Box-Tiao) Modeling ... with ARMA errors transfer function modeling with fully general rational transfer functions seasonal ARIMA models ARIMA model-based interpolation of missing values several parameter estimation...
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SAS/ETS 9.22 User''''s Guide 14 potx

SAS/ETS 9.22 User''''s Guide 14 potx

... SASECRSP, SASEFAME, and SASEHAVR interface engines enable SAS users to access andprocess time series data in CRSPAccess data files, FAME databases, and Haver Analytics DataLink Express (DLX) data bases, ... temporary data set that contains one observation for each value of eachseries.data temp;length _name_ $8 _label_ $40;keep _name_ _label_ date value;format date monyy.;input _name_ month year ... Interval TypesThe interval types are summarized as follows:YEARspecifies yearly intervals. Abbreviations are YEAR, YEARS, YEARLY, YR, ANNUAL,ANNUALLY, and ANNUALS. The starting subperiod s is...
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SAS/ETS 9.22 User''''s Guide 38 potx

SAS/ETS 9.22 User''''s Guide 38 potx

... regressor variables,ˇis a column vector of structural parameters, andtis normally and independently distributed with a mean of 0 and a variance of2. Note that in this parameterization, ... linear hypothesis to be tested. If more than one equationis specified, the equations are separated by commas.Each test is written as a linear equation composed of constants and parameter names. ... output data set.TRANSFORM=variablestransforms the specified variables from the input data set by the autoregressive model andwrites the transformed variables to the output data set. The details...
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SAS/ETS 9.22 User''''s Guide 44 potx

SAS/ETS 9.22 User''''s Guide 44 potx

... 192.426133MAPE 21.0772644 HQC 190.536976Durbin-Watson 1.3321 Regress R-Square 0.5717Total R-Square 0.7717Parameter EstimatesStandard ApproxVariable DF Estimate Error t Value Pr > |t| Variable LabelIntercept ... behavior can be explained by the partial adjustment and adaptive expectation hypotheses.Short-term forecasting applications often use autoregressive models because these models absorbthe behavior ... kind of data. In the case of a first-order AR process where the autoregressiveparameter is exactly 1 (a random walk ), the best prediction of the future is the immediate past.PROC AUTOREG can often...
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SAS/ETS 9.22 User''''s Guide 50 potx

SAS/ETS 9.22 User''''s Guide 50 potx

... usual.OUT= Data SetThe output data set contains the following variables: BY variables a numeric variable _TYPE_ a character variable _NAME_ the column variables from the COMPUTAB data tableOrder ... ValuesMissing values for variables in programming statements are treated in the same way that missingvalues are treated in the DATA step; that is, missing values used in expressions propagate missingvalues ... workingstorage and the COMPUTAB data table (CDT).Assume you have three years of figures for sales and cost of goods sold (CGS), and you want todetermine total sales and cost of goods sold and calculate...
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SAS/ETS 9.22 User''''s Guide 58 potx

SAS/ETS 9.22 User''''s Guide 58 potx

... 175.820Reading Data FilesThe DATASOURCE procedure is designed to read data from many different files and to place themin a SAS data set. For example, if you have a DRI Basic Economics data file you want ... Survey Standard & Poor’s Compustat Services Financial Database Files: COMPUSTAT Annual COMPUSTAT 48 Quarter COMPUSTAT Full Coverage Annual COMPUSTAT Full Coverage 48 Quarter Center ... DATASOURCE procedure extracts time series and event data from many different kinds of datafiles distributed by various data vendors and stores them in a SAS data set. Once stored in a SASdata...
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SAS/ETS 9.22 User''''s Guide 61 potx

SAS/ETS 9.22 User''''s Guide 61 potx

... that fall alphabetically between DATA1 and DATA99, and between DATA151and DATA350. Finally, the third statement assigns a length of 4 bytes to all the numeric variablesdefined between DATA1 and ... the BEANIPA DataRelation of Foreign Transactions to Balance of Payment AccountsRange from 1984 to 1989AnnualThe CONTENTS ProcedureAlphabetic List of Variables and Attributes# Variable Type ... since all the BY groups contain the same seriesvariables.The OUTALL= and OUTCONT= data sets are equivalent when there are no BY variables, exceptthat the OUTALL= data set contains extra information...
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